Transformers
PyTorch
English
t5
text2text-generation
semantic-role-labeling
question-answer generation
text-generation-inference
Instructions to use kleinay/qanom-seq2seq-model-joint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kleinay/qanom-seq2seq-model-joint with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kleinay/qanom-seq2seq-model-joint") model = AutoModelForSeq2SeqLM.from_pretrained("kleinay/qanom-seq2seq-model-joint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Replace model with original qanom_factor=14 model
Browse files- pytorch_model.bin +2 -2
pytorch_model.bin
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