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/44ec8eaad9bf1b2faa8100c19a9fc53c9ae1b7c4/pytorch_model.bin
- Command line
-
hf download hf://athugodage/T5-RLS2000@44ec8eaad9bf1b2faa8100c19a9fc53c9ae1b7c4/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/athugodage/T5-RLS2000/resolve/44ec8eaad9bf1b2faa8100c19a9fc53c9ae1b7c4/pytorch_model.bin
2.95 GB
- Xet hash:
- 837c9408739ac9ca2a4c52315309420e691c99bde5bf6181d1851c27eb8f1e24
- Size of remote file:
- 2.95 GB
- SHA256:
- b569f81dab8e9c4e3dbfeeb13d482536d9b2a0bf29da8fa9ce4a6fd49aa6f46f
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