Instructions to use error577/ca7eabf0-8d69-4a3d-8fa4-e5088fbe30df with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/ca7eabf0-8d69-4a3d-8fa4-e5088fbe30df with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("berkeley-nest/Starling-LM-7B-alpha") model = PeftModel.from_pretrained(base_model, "error577/ca7eabf0-8d69-4a3d-8fa4-e5088fbe30df") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from error577/ca7eabf0-8d69-4a3d-8fa4-e5088fbe30df: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/error577/ca7eabf0-8d69-4a3d-8fa4-e5088fbe30df/resolve/main/training_args.bin
- Command line
-
hf download hf://error577/ca7eabf0-8d69-4a3d-8fa4-e5088fbe30df/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/error577/ca7eabf0-8d69-4a3d-8fa4-e5088fbe30df/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- b8852feee458da2c90a83ceb20894234dbc5e735d28c17fe95a2af984be01227
- Size of remote file:
- 6.78 kB
- SHA256:
- 23deecaf8565009c5c576243979fe78013968e34bd8983ca97cb6a96afe6ad32
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