Instructions to use nttx/a87e83dd-461b-4307-8efa-ee0080a0f852 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/a87e83dd-461b-4307-8efa-ee0080a0f852 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "nttx/a87e83dd-461b-4307-8efa-ee0080a0f852") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nttx/a87e83dd-461b-4307-8efa-ee0080a0f852: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/nttx/a87e83dd-461b-4307-8efa-ee0080a0f852/resolve/main/training_args.bin
- Command line
-
hf download hf://nttx/a87e83dd-461b-4307-8efa-ee0080a0f852/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nttx/a87e83dd-461b-4307-8efa-ee0080a0f852/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 0efa1d53d9449cdbd2d7c3a7a3b19a09f5228f73f647c3d40879e70018406e7c
- Size of remote file:
- 6.84 kB
- SHA256:
- 1ab24214b8770633047b138122a4cfe9744da5ce472a635c3bf4f4a5f836abfd
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