Instructions to use aleegis10/5f39951c-e2aa-48dd-bfdb-2c66620ad538 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis10/5f39951c-e2aa-48dd-bfdb-2c66620ad538 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "aleegis10/5f39951c-e2aa-48dd-bfdb-2c66620ad538") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4062ac2f8032be86944d6726f8bf113aedca5445b42b4e5512f63db544958a96
- Size of remote file:
- 640 MB
- SHA256:
- acbc0eba058c0614f02280c1a4579ca8f52455e99365de91e422809692c195f2
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