Instructions to use diaenra/9a7c4130-10af-4221-a12a-63702b03e95f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use diaenra/9a7c4130-10af-4221-a12a-63702b03e95f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("dunzhang/stella_en_1.5B_v5") model = PeftModel.from_pretrained(base_model, "diaenra/9a7c4130-10af-4221-a12a-63702b03e95f") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from diaenra/9a7c4130-10af-4221-a12a-63702b03e95f: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/diaenra/9a7c4130-10af-4221-a12a-63702b03e95f/resolve/main/training_args.bin
- Command line
-
hf download hf://diaenra/9a7c4130-10af-4221-a12a-63702b03e95f/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/diaenra/9a7c4130-10af-4221-a12a-63702b03e95f/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 6db946998fe9170826c0e90bde8cb3cc147b99f23589ab32b176dbc18822b5b2
- Size of remote file:
- 6.84 kB
- SHA256:
- c04711a8ac3ab09e8e0a3b0a7726dcf5301dff82c9080db8ec81cccc5ed7adbe
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