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 last-checkpoint/training_args.bin from prxy5604/bcf9b195-c013-456c-be54-d624d1e79b2c: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/prxy5604/bcf9b195-c013-456c-be54-d624d1e79b2c/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://prxy5604/bcf9b195-c013-456c-be54-d624d1e79b2c/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/prxy5604/bcf9b195-c013-456c-be54-d624d1e79b2c/resolve/main/last-checkpoint/training_args.bin
6.84 kB
- Xet hash:
- 89391dd79dee248a0be4d30106d7d6104aebbee375e7b7e9040611a8df86dc13
- Size of remote file:
- 6.84 kB
- SHA256:
- 3fda8a2a0d2a14d51b67b9c715a64fca44b15a5b4954f93897c6579df17a0c74
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