Instructions to use snorkelai/sdnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use snorkelai/sdnet with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("snorkelai/sdnet") model = AutoModelForSeq2SeqLM.from_pretrained("snorkelai/sdnet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 669b6364f6806d14893c3f038ba8995fa01f6cdbe6b480d5061684094b6aff22
- Size of remote file:
- 892 MB
- SHA256:
- b4c4d0f90302ab9131446ce4e2eee7fceb0ee7a74bf09fb47ecd43ee771b8a6a
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