epitext-sikuroberta

101
—
by
jhangyejin
Language Model
OTHER
New
101 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Code Examples

1. Setup model and tokenizerpythontransformers
from transformers import pipeline, AutoTokenizer

# 1. Setup model and tokenizer
model_path = "jhangyejin/epitext-sikuroberta"
tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False)

# 2. Create pipeline
fill_mask = pipeline("fill-mask", model=model_path, tokenizer=tokenizer)

# 3. Inference
# Example: "又立石於先生墓前以表之而使弟榮祏[MASK]其陰内外世"
text = "又立石於先生墓前以表之而使弟榮祏[MASK]其陰内外世"
results = fill_mask(text)

# 4. Print Top-5 Results
print(f"Input: {text}")
print("-" * 30)
for i, item in enumerate(results):
    print(f"Top {i+1} - Score: {item['score']:.4f}, Token: {item['token_str']}")

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