Instructions to use beast33/8bec4c41-fd0f-4c37-a2ec-a4b9676cb505 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use beast33/8bec4c41-fd0f-4c37-a2ec-a4b9676cb505 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("DeepMount00/Llama-3-8b-Ita") model = PeftModel.from_pretrained(base_model, "beast33/8bec4c41-fd0f-4c37-a2ec-a4b9676cb505") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7bd89beb926bfedc4fa616bd7fe277d51e03b60d92f7f72214d70d6387e1a29d
- Size of remote file:
- 83.9 MB
- SHA256:
- b01df9b9bc273a6294a351f9524750202c9d917c2979fead72026e769802b00e
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