Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use athugodage/T5-RLS2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use athugodage/T5-RLS2000 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("athugodage/T5-RLS2000") model = AutoModelForSeq2SeqLM.from_pretrained("athugodage/T5-RLS2000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from athugodage/T5-RLS2000: direct link, hf CLI and curl.
- Browser
- Download file 2.95 GB
-
https://huggingface.co/athugodage/T5-RLS2000/resolve/ea9446aafa03c6dfda5696e9bc60d22557ab7607/pytorch_model.bin
- Command line
-
hf download hf://athugodage/T5-RLS2000@ea9446aafa03c6dfda5696e9bc60d22557ab7607/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/athugodage/T5-RLS2000/resolve/ea9446aafa03c6dfda5696e9bc60d22557ab7607/pytorch_model.bin
2.95 GB
- Xet hash:
- b41424f4ec216b5832cd1f9df53304b89717e9b1eb44a9dc575eb49d951804aa
- Size of remote file:
- 2.95 GB
- SHA256:
- e1c7a27dd2fd6a2822b48077f1a913dbde7389c07706ba5f5d6484d2ff00afc4
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