Instructions to use strombergnlp/dant5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use strombergnlp/dant5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("strombergnlp/dant5-small") model = AutoModelForSeq2SeqLM.from_pretrained("strombergnlp/dant5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7dab944dfb4fb32315a2da1d1d61502c6034c51920ef79d41b02d258f24fd1e8
- Size of remote file:
- 242 MB
- SHA256:
- e3c0f27a77881f354a9793de5b94aa3340b4c86989719d997205200f4435ab26
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