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 training_args.bin from sergioalves/6ff3b9b2-ce78-405a-b408-3077e640db6c: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/sergioalves/6ff3b9b2-ce78-405a-b408-3077e640db6c/resolve/main/training_args.bin
- Command line
-
hf download hf://sergioalves/6ff3b9b2-ce78-405a-b408-3077e640db6c/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sergioalves/6ff3b9b2-ce78-405a-b408-3077e640db6c/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 7a696bf4227e9c0675e4ee10d4b44a338dcb073dcc99d2762b14ab7fcd13b51c
- Size of remote file:
- 6.78 kB
- SHA256:
- bc1074c3bd5c921aefb5be3a97890376af7cf26f87c5126d52c694a1cd9def7f
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