Instructions to use choosistant/seq2seqmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use choosistant/seq2seqmodel with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("choosistant/seq2seqmodel") model = AutoModelForSeq2SeqLM.from_pretrained("choosistant/seq2seqmodel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f01d2e8b7716006f7db270b43e72169b861b5f77944ecfcd44c7be621725fa3
- Size of remote file:
- 1.63 GB
- SHA256:
- 329e8bca3ae86ac6dc66df2c3c80cc4caa4eb3375c0daff5b78ea73b769d3122
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