Transformers
PyTorch
English
t5
text2text-generation
semantic-role-labeling
question-answer generation
text-generation-inference
Instructions to use kleinay/qanom-seq2seq-model-baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kleinay/qanom-seq2seq-model-baseline with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kleinay/qanom-seq2seq-model-baseline") model = AutoModelForSeq2SeqLM.from_pretrained("kleinay/qanom-seq2seq-model-baseline", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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add update_config
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update _sanitize_parameters to accept `generate_kwargs`
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fix source prefix
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Update README.md
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rm import preprocessing
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link fix
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Update README.md
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Create README.md
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Adding Pipeline support for easy usage
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Upload preprocessing_kwargs.json
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add tokenizer
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add model
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initial commit
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