Instructions to use chaojiang06/arXivEdits-intention-classifier-T5-large-coarse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chaojiang06/arXivEdits-intention-classifier-T5-large-coarse with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("chaojiang06/arXivEdits-intention-classifier-T5-large-coarse") model = AutoModelForSeq2SeqLM.from_pretrained("chaojiang06/arXivEdits-intention-classifier-T5-large-coarse", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from chaojiang06/arXivEdits-intention-classifier-T5-large-coarse: direct link, hf CLI and curl.
- Browser
- Download file 3.18 kB
-
https://huggingface.co/chaojiang06/arXivEdits-intention-classifier-T5-large-coarse/resolve/main/training_args.bin
- Command line
-
hf download hf://chaojiang06/arXivEdits-intention-classifier-T5-large-coarse/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/chaojiang06/arXivEdits-intention-classifier-T5-large-coarse/resolve/main/training_args.bin
3.18 kB
- Xet hash:
- 7cfc3e1c994e0915bc78b3050f4b0ed18b3011e55f89d277c245cd6887961f21
- Size of remote file:
- 3.18 kB
- SHA256:
- a23b9a642b4db882ef684755d34a85a97de3a32384696d8bc0c1c6f4a79e7e20
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.