Instructions to use eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-random-GemmaForCausalLM") model = PeftModel.from_pretrained(base_model, "eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095: direct link, hf CLI and curl.
- Browser
- Download file 41.1 kB
-
https://huggingface.co/eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095/resolve/main/adapter_model.bin
- Command line
-
hf download hf://eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095/resolve/main/adapter_model.bin
41.1 kB
- Xet hash:
- 5be3b58053e29f6b66acd2196f7ebe90f0543739602b66b90e482a71268d9888
- Size of remote file:
- 41.1 kB
- SHA256:
- 4b55e4b033246eb4cead730e9ec532dde9c4305126f99afe0cbbe5c0858e27d5
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