Instructions to use AnonymousSubmissionOnly/checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSubmissionOnly/checkpoint with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AnonymousSubmissionOnly/checkpoint") model = AutoModelForSeq2SeqLM.from_pretrained("AnonymousSubmissionOnly/checkpoint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AnonymousSubmissionOnly/checkpoint: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/AnonymousSubmissionOnly/checkpoint/resolve/main/training_args.bin
- Command line
-
hf download hf://AnonymousSubmissionOnly/checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AnonymousSubmissionOnly/checkpoint/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- c312e453a62a97d247f79c6aabf0229bc0b51144998faab56be5ae039a8666cf
- Size of remote file:
- 4.03 kB
- SHA256:
- 205faa1c9ab2a2858bdf5fcb49242ab8091a30276506b912464d0e92b5a5ba59
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