Instructions to use nttx/7d8264c0-1221-4895-93fd-59d0aeba6a21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/7d8264c0-1221-4895-93fd-59d0aeba6a21 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-13b-hf-flash") model = PeftModel.from_pretrained(base_model, "nttx/7d8264c0-1221-4895-93fd-59d0aeba6a21") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nttx/7d8264c0-1221-4895-93fd-59d0aeba6a21: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/nttx/7d8264c0-1221-4895-93fd-59d0aeba6a21/resolve/main/training_args.bin
- Command line
-
hf download hf://nttx/7d8264c0-1221-4895-93fd-59d0aeba6a21/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nttx/7d8264c0-1221-4895-93fd-59d0aeba6a21/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 85a327d6a8b4854c2f5cf78c29b3b8a8474aa367bbf82a676058d66508ca8691
- Size of remote file:
- 6.84 kB
- SHA256:
- f351d6fa2837d1c38b262e4464c932edcdb7bcaffd5145b2e007c0aec652cb7c
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