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:
- 8526cfb5f5e36629d25c6212b62d79126b51e3b31a87db32bd81ac6bf7c79a5d
- Size of remote file:
- 84 MB
- SHA256:
- 9ca355fa049bcca9a689fd777e09996fa83664904b382dfd1465b595c2fe9ee4
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