Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use ParastooC/t5_small_SA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ParastooC/t5_small_SA with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ParastooC/t5_small_SA") model = AutoModelForSeq2SeqLM.from_pretrained("ParastooC/t5_small_SA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ParastooC/t5_small_SA: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/ParastooC/t5_small_SA/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ParastooC/t5_small_SA/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ParastooC/t5_small_SA/resolve/main/pytorch_model.bin
242 MB
- Xet hash:
- 58708fed58ae33e4f72d66170cc362af42d69eeca7d99e9db2201cd7cc0b646c
- Size of remote file:
- 242 MB
- SHA256:
- 6e30455c251ec45686fad51cc8c24ef8cb6f1603441f6e0e52a2b4cf1e1b2ca3
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