Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use ra4wv2/t5-large-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ra4wv2/t5-large-qa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ra4wv2/t5-large-qa") model = AutoModelForSeq2SeqLM.from_pretrained("ra4wv2/t5-large-qa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbc2e319f18ec92c348429efa22bc30a8fe0242c116ceab1bf208833854e4b98
- Size of remote file:
- 2.95 GB
- SHA256:
- 338ad6f81e36c0f643cb1efe98e751706de6a9ec037d9ca524136c613a3eb333
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