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:
# pip install -U transformers accelerate # 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
Commit History
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Adding `safetensors` variant of this model (#2)
- Adding `safetensors` variant of this model (1e999334db28b9aeb8833209f93ec16c55987b9e) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>a41be90
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Create LICENSE.txt
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Updated README and Added License
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Upload tokenizer
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Upload T5ForConditionalGeneration
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Upload T5ForConditionalGeneration
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initial commit
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