Instructions to use VERSIL91/f459d8a1-bdd7-43f5-a793-3bf2efb7e9c4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/f459d8a1-bdd7-43f5-a793-3bf2efb7e9c4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-410m-deduped") model = PeftModel.from_pretrained(base_model, "VERSIL91/f459d8a1-bdd7-43f5-a793-3bf2efb7e9c4") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from VERSIL91/f459d8a1-bdd7-43f5-a793-3bf2efb7e9c4: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/VERSIL91/f459d8a1-bdd7-43f5-a793-3bf2efb7e9c4/resolve/main/training_args.bin
- Command line
-
hf download hf://VERSIL91/f459d8a1-bdd7-43f5-a793-3bf2efb7e9c4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VERSIL91/f459d8a1-bdd7-43f5-a793-3bf2efb7e9c4/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- fe8c2349ed3af28f7dfeb5ec7f7934a6d5479763173ea8150099772e04ca48ac
- Size of remote file:
- 6.78 kB
- SHA256:
- 4ee4e0fb6a448c6be54cc561e0fc0f698136f8373a02f5b4b9a958f8d4e59a44
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.