Nemotron-4-Mini-Hindi-4B-Base
205
13
4.0B
—
by
nvidia
Other
OTHER
4B params
New
205 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
9GB+ RAM
Mobile
Laptop
Server
Quick Summary
AI model with specialized capabilities.
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
4GB+ RAM
Code Examples
Load the tokenizer and modelpythontransformers
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
# Load the tokenizer and model
model_path = 'nvidia/Nemotron-4-Mini-Hindi-4B-Base'
tokenizer = AutoTokenizer.from_pretrained(model_path)
device = 'cuda'
dtype = torch.bfloat16
model = AutoModelForCausalLM.from_pretrained(model_path, torch_dtype=dtype, device_map=device)
# Prepare the input text
prompt = 'भारत की राजधानी क्या है?'
inputs = tokenizer.encode(prompt, return_tensors='pt').to(model.device)
# Generate the output
outputs = model.generate(inputs, max_length=15)
# Decode and print the output
output_text = tokenizer.decode(outputs[0])
print(output_text)Deploy This Model
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