Instructions to use aleegis12/5c9338df-f59e-46cd-99c6-792ad1a1c5b7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis12/5c9338df-f59e-46cd-99c6-792ad1a1c5b7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("huggyllama/llama-7b") model = PeftModel.from_pretrained(base_model, "aleegis12/5c9338df-f59e-46cd-99c6-792ad1a1c5b7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbe17ad681fd7ebf033bd1d1faaefeb335027587c8a7582381a81179e5eba2a7
- Size of remote file:
- 640 MB
- SHA256:
- bd82382063629397b52a9627bfe3cad00421ef4a490fbcd4e107cd2b9389ee5f
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