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slm
asrith05/slm
slm is a text generation model from asrith05. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
Fine-tuned multilingual model for entity extraction tasks.
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109M
1.3 GB on disk
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- deepseek_v3
- Access
- Public
- Created
- Sep 16, 2025
- Updated
- Sep 16, 2025
- SHA
- 70d9ceca
Try a prompt
Model card
From the Hugging Face model README
asrith05/slm
Fine-tuned multilingual model for entity extraction tasks.
Model Details
- Base: DeepSeek architecture
- Languages: English, Telugu, Sanskrit
- Task: Entity extraction
- Size: ~416MB
Usage
from transformers import AutoTokenizer, AutoModelForCausalLM
model_name = "asrith05/slm"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
# Example usage
prompt = "Extract entities: John works at Microsoft in Seattle."
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=50)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
Training
- Dataset: 30K examples (20K train, 5K val, 5K test)
- Epochs: 1
- Learning rate: 5e-5
- Task
- Text Generation
- Library
- transformers
- Type
- deepseek_v3
- License
- apache-2.0
- Languages
- en, te, sa
- Created
- Sep 16, 2025
- Updated
- Sep 16, 2025