Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use summervent/speller-t5-9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use summervent/speller-t5-9 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("summervent/speller-t5-9") model = AutoModelForSeq2SeqLM.from_pretrained("summervent/speller-t5-9", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from summervent/speller-t5-9: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/summervent/speller-t5-9/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://summervent/speller-t5-9/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/summervent/speller-t5-9/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- fad909c90edcddec9da555538e88fbc3f22a22bfb079b5b4932c46678091ae42
- Size of remote file:
- 892 MB
- SHA256:
- 5169a09daf7134c7d793b71b477e36cc9901cee8d3c3c563dab38153362d2d81
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.