Instructions to use sergioalves/6ff3b9b2-ce78-405a-b408-3077e640db6c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/6ff3b9b2-ce78-405a-b408-3077e640db6c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Intel/neural-chat-7b-v3-3") model = PeftModel.from_pretrained(base_model, "sergioalves/6ff3b9b2-ce78-405a-b408-3077e640db6c") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from sergioalves/6ff3b9b2-ce78-405a-b408-3077e640db6c: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/sergioalves/6ff3b9b2-ce78-405a-b408-3077e640db6c/resolve/main/adapter_model.bin
- Command line
-
hf download hf://sergioalves/6ff3b9b2-ce78-405a-b408-3077e640db6c/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/sergioalves/6ff3b9b2-ce78-405a-b408-3077e640db6c/resolve/main/adapter_model.bin
336 MB
- Xet hash:
- 6bf1b67dacc073ae5e103b93d46280c5d0cc5aa8ddc6d37ca0107c4a468459fa
- Size of remote file:
- 336 MB
- SHA256:
- 93c0c5999a03ac51715034f190e59aed47c288d435b71740744d6cf6404aca2b
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