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:
- 78eec708fc739368ffd65f6428bb0cfe1a6a41cc56ab7012e9e24b5dc7f1649a
- Size of remote file:
- 977 MB
- SHA256:
- 6deda7eaf1b96532d34625ba0e4b92bcf56da4c12dd93d29387dafd6d3148e02
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