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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5987c812249b28bbf3136ba75d24cd00a1e0deca693d7006ff94d28264cb955
- Size of remote file:
- 977 MB
- SHA256:
- 2361449362496a31c8493b9e3c8f24f11ba179e406268f041b62c0ed2cae28bb
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