fill-mask-bert-base-uncased

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Quick Summary

AI model with specialized capabilities.

Code Examples

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

Predict the masked wordpythontransformers

from transformers import pipeline

model = "your-username/fill-mask-bert-finetuned"  # replace with actual repo ID
fill_mask = pipeline("fill-mask", model=model)

# Predict the masked word
output = fill_mask("The [MASK] is shining in the sky.")
for o in output:
    print(f"{o['sequence']} | Score: {o['score']:.2f}")

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