Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use athugodage/T5-RLS500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use athugodage/T5-RLS500 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("athugodage/T5-RLS500") model = AutoModelForSeq2SeqLM.from_pretrained("athugodage/T5-RLS500", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eca4a8f29e7e8a6113acbdb0b21ab2f3d433936ac0e7e4f267b284f68bc1d80e
- Size of remote file:
- 3.57 kB
- SHA256:
- 7a1ca4f6df726becb5fd133b456b29f135e2f298bfca1892f6529b0269bbc082
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