Instructions to use thangla01/97319f79-9c82-4909-bc2b-0c6ca011534a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thangla01/97319f79-9c82-4909-bc2b-0c6ca011534a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-2-7b-chat") model = PeftModel.from_pretrained(base_model, "thangla01/97319f79-9c82-4909-bc2b-0c6ca011534a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f97cb54b3af0050db5f3948e4477b35275f3013370aee267afa11d020746098f
- Size of remote file:
- 80.1 MB
- SHA256:
- 79292c8b98ac37257bcc44fd67affd5fcf7a4560889d81ae92d9ba2e030d04ea
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