Instructions to use sam2ai/llama3_odia_8b_lora_sft_v1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sam2ai/llama3_odia_8b_lora_sft_v1.1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("OdiaGenAI-LLM/llama_3_8b_odia_pt") model = PeftModel.from_pretrained(base_model, "sam2ai/llama3_odia_8b_lora_sft_v1.1") - Notebooks
- Google Colab
- Kaggle
Download training_eval_loss.png from sam2ai/llama3_odia_8b_lora_sft_v1.1: direct link, hf CLI and curl.
- Browser
- Download file 25.8 kB
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https://huggingface.co/sam2ai/llama3_odia_8b_lora_sft_v1.1/resolve/a7cf5832677d490bfd7d5d51d60a7aaed4a01936/training_eval_loss.png
- Command line
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hf download hf://sam2ai/llama3_odia_8b_lora_sft_v1.1@a7cf5832677d490bfd7d5d51d60a7aaed4a01936/training_eval_loss.png
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curl -L -o training_eval_loss.png https://huggingface.co/sam2ai/llama3_odia_8b_lora_sft_v1.1/resolve/a7cf5832677d490bfd7d5d51d60a7aaed4a01936/training_eval_loss.png
25.8 kB
