Instructions to use cilorku/97a6846c-bfe5-406c-ac93-fa28fa7ae511 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cilorku/97a6846c-bfe5-406c-ac93-fa28fa7ae511 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("defog/sqlcoder-7b-2") model = PeftModel.from_pretrained(base_model, "cilorku/97a6846c-bfe5-406c-ac93-fa28fa7ae511") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from cilorku/97a6846c-bfe5-406c-ac93-fa28fa7ae511: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/cilorku/97a6846c-bfe5-406c-ac93-fa28fa7ae511/resolve/main/training_args.bin
- Command line
-
hf download hf://cilorku/97a6846c-bfe5-406c-ac93-fa28fa7ae511/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/cilorku/97a6846c-bfe5-406c-ac93-fa28fa7ae511/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 1b2ecf78095a13e267554303d242452a9a3062467e45f988792618b8da979b94
- Size of remote file:
- 6.84 kB
- SHA256:
- b756e175c82b10a996c73f53ebb69a3128c88b0a06143687eb58db947da126b6
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