Instructions to use 1-lock/22b05afc-5100-4d8e-849b-39843d793e1c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/22b05afc-5100-4d8e-849b-39843d793e1c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("huggyllama/llama-7b") model = PeftModel.from_pretrained(base_model, "1-lock/22b05afc-5100-4d8e-849b-39843d793e1c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff122c241d9b983cce46e591cda3b94ac39c451501ed7bdd28626eb734b4a554
- Size of remote file:
- 15 kB
- SHA256:
- 44712c806aed9581e08d8344c043ec9603a0cbb8a4b010a363c7af00237b128c
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