Instructions to use AnonymousSubmissionOnly/t5-robust with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSubmissionOnly/t5-robust with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AnonymousSubmissionOnly/t5-robust") model = AutoModelForSeq2SeqLM.from_pretrained("AnonymousSubmissionOnly/t5-robust", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from AnonymousSubmissionOnly/t5-robust: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/AnonymousSubmissionOnly/t5-robust/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AnonymousSubmissionOnly/t5-robust/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AnonymousSubmissionOnly/t5-robust/resolve/main/pytorch_model.bin
990 MB
- Xet hash:
- 6580f84f18e570a795139a98df569c6537f360bed8c75a2c4ff4d6792687f07e
- Size of remote file:
- 990 MB
- SHA256:
- 696efc15bce67682c231081121adad32a2e432676576679ef2c644f6aa79d902
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