Instructions to use chaimag/prectice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chaimag/prectice with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "chaimag/prectice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c3ed8523c6a2336cf5d7fdae9479be3bdf345561103ac1556b74bd7f355a8cb
- Size of remote file:
- 134 MB
- SHA256:
- 13bc7f97c4bf3ede776ecc162510b525580b1961c3a79588a9d872f6f36a439d
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