Instructions to use vishnun/t5spellcorrector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vishnun/t5spellcorrector with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vishnun/t5spellcorrector") model = AutoModelForSeq2SeqLM.from_pretrained("vishnun/t5spellcorrector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vishnun/t5spellcorrector: direct link, hf CLI and curl.
- Browser
- Download file 2.93 kB
-
https://huggingface.co/vishnun/t5spellcorrector/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://vishnun/t5spellcorrector@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vishnun/t5spellcorrector/resolve/refs%2Fpr%2F1/training_args.bin
2.93 kB
- Xet hash:
- 7478ddbfb44b273772ea98313dfeafdd3ed910e66dfa30a904824cb15449a565
- Size of remote file:
- 2.93 kB
- SHA256:
- 2aec5b6baee87b74ef58ecb63fbd1ce37c892d7b3cac0bd738a85d008c244180
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