Transformers
PyTorch
t5
text2text-generation
question-answering, multi-step-reasoning, multi-hop-reasoning
text-generation-inference
Instructions to use StonyBrookNLP/teabreac-preasm-large-tatqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StonyBrookNLP/teabreac-preasm-large-tatqa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("StonyBrookNLP/teabreac-preasm-large-tatqa") model = AutoModelForSeq2SeqLM.from_pretrained("StonyBrookNLP/teabreac-preasm-large-tatqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8136efc33c137dfb891a7721da7ca2283c3850182c156a9ef2b4bd6a6d3921a4
- Size of remote file:
- 3.08 GB
- SHA256:
- 49754a4963e374fd926a9d2b715195d4a417a6b5e26beb085ae84367b5e65233
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