Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use rooftopcoder/byt5-small-coqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rooftopcoder/byt5-small-coqa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rooftopcoder/byt5-small-coqa") model = AutoModelForSeq2SeqLM.from_pretrained("rooftopcoder/byt5-small-coqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05e311bb7bb36d0ce4d95a9b472c7663ee2334cc460a68514a4eaa547a40f5c5
- Size of remote file:
- 4.09 kB
- SHA256:
- d3d531fb4aa206cf0d3053c299ccf733424f8a5b38674207cf310fa796196c8d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.