Instructions to use strombergnlp/dant5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use strombergnlp/dant5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("strombergnlp/dant5-large") model = AutoModelForSeq2SeqLM.from_pretrained("strombergnlp/dant5-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc2b983150777409e7b130457d04af510f2a62ad1cb0351d0de788704dbf8d68
- Size of remote file:
- 2.95 GB
- SHA256:
- 999ac7d27198189731ed39e0e18c69ae10ef8e791655cc149bb74457287e9cf4
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