Instructions to use vermoney/dc13dbfc-06b1-4983-898b-3980381db6da with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vermoney/dc13dbfc-06b1-4983-898b-3980381db6da 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, "vermoney/dc13dbfc-06b1-4983-898b-3980381db6da") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vermoney/dc13dbfc-06b1-4983-898b-3980381db6da: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/vermoney/dc13dbfc-06b1-4983-898b-3980381db6da/resolve/main/training_args.bin
- Command line
-
hf download hf://vermoney/dc13dbfc-06b1-4983-898b-3980381db6da/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vermoney/dc13dbfc-06b1-4983-898b-3980381db6da/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- ed1b50d9437d9d8c210f2cd836916f2400cf76ec5d44df9b4674632f18374b16
- Size of remote file:
- 6.78 kB
- SHA256:
- 93494a397f516c9cbd654a64315b17f6bf475a6452c510505fe019dfdd0697e4
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