Instructions to use eeeebbb2/5737beba-a6cf-4751-a823-f1b80f1b9204 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/5737beba-a6cf-4751-a823-f1b80f1b9204 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peft-internal-testing/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "eeeebbb2/5737beba-a6cf-4751-a823-f1b80f1b9204") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from eeeebbb2/5737beba-a6cf-4751-a823-f1b80f1b9204: direct link, hf CLI and curl.
- Browser
- Download file 55.2 kB
-
https://huggingface.co/eeeebbb2/5737beba-a6cf-4751-a823-f1b80f1b9204/resolve/main/adapter_model.bin
- Command line
-
hf download hf://eeeebbb2/5737beba-a6cf-4751-a823-f1b80f1b9204/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/eeeebbb2/5737beba-a6cf-4751-a823-f1b80f1b9204/resolve/main/adapter_model.bin
55.2 kB
- Xet hash:
- 47e7227e8b72b19a2358a13d4fce5048f56ce2ccabe4fdee8cff7ade3192f52a
- Size of remote file:
- 55.2 kB
- SHA256:
- 0dff2e79570f8c69d6d9c70c130bc720a54a037fa0d1d5f0c22b388bbbd99238
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