Instructions to use ACampero/debug_test_masking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ACampero/debug_test_masking with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ACampero/debug_test_masking", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from ACampero/debug_test_masking: direct link, hf CLI and curl.
- Browser
- Download file 5.97 kB
-
https://huggingface.co/ACampero/debug_test_masking/resolve/main/training_args.bin
- Command line
-
hf download hf://ACampero/debug_test_masking/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ACampero/debug_test_masking/resolve/main/training_args.bin
5.97 kB
- Xet hash:
- e5381c2274d4916f7e96c71573c828516006021aa5fee3b07e9defcf1ddfbbfa
- Size of remote file:
- 5.97 kB
- SHA256:
- 237823036dfbdc6f800a52b8244996eb13e4a4706b4bec78813e7f1af9686343
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