Instructions to use absl2024/test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use absl2024/test1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "absl2024/test1") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from absl2024/test1: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/absl2024/test1/resolve/main/training_args.bin
- Command line
-
hf download hf://absl2024/test1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/absl2024/test1/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- fdf4d018902c207e9b5fd3f066a51c88e402d26c90c6e773bdee45bd2b71150b
- Size of remote file:
- 5.37 kB
- SHA256:
- aea02cd52a6bd221ffa620d5ceaa1c146062e7958ebf17d7c66581378628b22a
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