Instructions to use bbytxt/7cdf27bb-e225-40e3-bb98-a0a4a5a09636 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bbytxt/7cdf27bb-e225-40e3-bb98-a0a4a5a09636 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, "bbytxt/7cdf27bb-e225-40e3-bb98-a0a4a5a09636") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from bbytxt/7cdf27bb-e225-40e3-bb98-a0a4a5a09636: direct link, hf CLI and curl.
- Browser
- Download file 32.6 kB
-
https://huggingface.co/bbytxt/7cdf27bb-e225-40e3-bb98-a0a4a5a09636/resolve/main/adapter_model.bin
- Command line
-
hf download hf://bbytxt/7cdf27bb-e225-40e3-bb98-a0a4a5a09636/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/bbytxt/7cdf27bb-e225-40e3-bb98-a0a4a5a09636/resolve/main/adapter_model.bin
32.6 kB
- Xet hash:
- 003893d349e340eb4bda7dbd5c88ac264bace87a51a7ec5643b27f107288b179
- Size of remote file:
- 32.6 kB
- SHA256:
- 23b4840c35fadab03696fc0e0b9c6174000f8bf9db5b717da64d17bd7e9a81f9
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