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/eebfb046fc420c2ff89fbee0ac2ef0839f83aaf4/pytorch_model.bin
- Command line
-
hf download hf://athugodage/T5-RLS2000@eebfb046fc420c2ff89fbee0ac2ef0839f83aaf4/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/athugodage/T5-RLS2000/resolve/eebfb046fc420c2ff89fbee0ac2ef0839f83aaf4/pytorch_model.bin
2.95 GB
- Xet hash:
- 2bb24060fbf4289c0890df2885266dfb4ecc2f957e8078cecab031854fff2a6c
- Size of remote file:
- 2.95 GB
- SHA256:
- 5bf0a8a999b074b365e47afc931faa9e2a79827a92dc5e8672c8e70bdb907974
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