Transformers
PyTorch
t5
text2text-generation
question-answering, multi-step-reasoning, multi-hop-reasoning
text-generation-inference
Instructions to use StonyBrookNLP/teabreac-preasm-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StonyBrookNLP/teabreac-preasm-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("StonyBrookNLP/teabreac-preasm-large") model = AutoModelForSeq2SeqLM.from_pretrained("StonyBrookNLP/teabreac-preasm-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from StonyBrookNLP/teabreac-preasm-large: direct link, hf CLI and curl.
- Browser
- Download file 3.08 GB
-
https://huggingface.co/StonyBrookNLP/teabreac-preasm-large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://StonyBrookNLP/teabreac-preasm-large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/StonyBrookNLP/teabreac-preasm-large/resolve/main/pytorch_model.bin
3.08 GB
- Xet hash:
- 19128a4fef13b7cb1bfa15377699cec7a2fe19f976b7ffeebb34dbf190b12895
- Size of remote file:
- 3.08 GB
- SHA256:
- c5d414aca4f4477cba3c858b84d15c604fffa965b608bde263852ca91660a417
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