Instructions to use vidyamdeveloper/model_llama_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vidyamdeveloper/model_llama_3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "vidyamdeveloper/model_llama_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51b2351c47fa0c592e7d833d164939d60977be0df322be18f14b984c427a2f57
- Size of remote file:
- 5.56 kB
- SHA256:
- 39fc226e27c846af9bac8ae2aea94c5a2fd8daaec712f793147a02347388bdb5
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