Instructions to use 1-lock/9c8daef8-4a26-4744-a09b-cadb7d64e02c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/9c8daef8-4a26-4744-a09b-cadb7d64e02c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-560m") model = PeftModel.from_pretrained(base_model, "1-lock/9c8daef8-4a26-4744-a09b-cadb7d64e02c") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from 1-lock/9c8daef8-4a26-4744-a09b-cadb7d64e02c: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/1-lock/9c8daef8-4a26-4744-a09b-cadb7d64e02c/resolve/main/training_args.bin
- Command line
-
hf download hf://1-lock/9c8daef8-4a26-4744-a09b-cadb7d64e02c/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/1-lock/9c8daef8-4a26-4744-a09b-cadb7d64e02c/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 855bfea989baa437eb6fcca503dcd1bc247872ad9af1104eea6003b8dc6636ad
- Size of remote file:
- 6.84 kB
- SHA256:
- 53f3a24eb71ff3506860dfde945013c23bb4ee954c6a2b31346753d7a0489bf5
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