Instructions to use namespace-Pt/doct5-nq320k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use namespace-Pt/doct5-nq320k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("namespace-Pt/doct5-nq320k") model = AutoModelForSeq2SeqLM.from_pretrained("namespace-Pt/doct5-nq320k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37905e180ad6b049d0eae75892a429de244f5eb0affec30523ea038153622390
- Size of remote file:
- 892 MB
- SHA256:
- f8714ac61337868643ad11e76f167cc1e33e5ca7f1705dc30f065658b9b378c4
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