Instructions to use sergioalves/ebded466-e443-45a5-9f75-b2f2db535f77 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/ebded466-e443-45a5-9f75-b2f2db535f77 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, "sergioalves/ebded466-e443-45a5-9f75-b2f2db535f77") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee8608c12d34177add02aefd45b00266c8c638c1ec0776b13df0ca5d90a19fe2
- Size of remote file:
- 6.78 kB
- SHA256:
- 38a3a09be503baac19b3f00feedb148c405958b8b38782a83d4bbed1b6318ce9
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