Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use summervent/speller-example__ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use summervent/speller-example__ with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("summervent/speller-example__") model = AutoModelForSeq2SeqLM.from_pretrained("summervent/speller-example__", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from summervent/speller-example__: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/summervent/speller-example__/resolve/main/training_args.bin
- Command line
-
hf download hf://summervent/speller-example__/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/summervent/speller-example__/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 2461ffcadec2046f860aa24162cc2ebc211dfdc8e5a9fe366a17ef7b90f226bd
- Size of remote file:
- 3.58 kB
- SHA256:
- 7cd61ca713241a11c8fd1a4fc4860303b63ce9f6d779ea19770d6f7cd9c47174
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