Instructions to use stanford-nlpxed/uptake-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stanford-nlpxed/uptake-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("stanford-nlpxed/uptake-model") model = AutoModel.from_pretrained("stanford-nlpxed/uptake-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Bug&Fix due to Tensors Located on Different Files (#1)
Verified signature- Fixed Error due to Tensors Located on Different Files (0fa9e59a914dba981034dad30559948d9ea3ebc7)01db036
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update handler
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update handler
ddemszkyabd286b -
update handler
ddemszkyba5a35c
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add custom handler
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