Instructions to use prxy5604/bcf9b195-c013-456c-be54-d624d1e79b2c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5604/bcf9b195-c013-456c-be54-d624d1e79b2c 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, "prxy5604/bcf9b195-c013-456c-be54-d624d1e79b2c") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from prxy5604/bcf9b195-c013-456c-be54-d624d1e79b2c: direct link, hf CLI and curl.
- Browser
- Download file 76.7 kB
-
https://huggingface.co/prxy5604/bcf9b195-c013-456c-be54-d624d1e79b2c/resolve/main/adapter_model.bin
- Command line
-
hf download hf://prxy5604/bcf9b195-c013-456c-be54-d624d1e79b2c/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/prxy5604/bcf9b195-c013-456c-be54-d624d1e79b2c/resolve/main/adapter_model.bin
76.7 kB
- Xet hash:
- 268f28164e9e2d91bbf103bbe06ba3c1f90407ce1aba97cf0b99737e2fe02c97
- Size of remote file:
- 76.7 kB
- SHA256:
- ebfa5589fd0b1a09ba9b105e0e9995fc98120a6bfebb81d81da766634c570ec7
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