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
Download __pycache__/handler.cpython-39.pyc from stanford-nlpxed/uptake-model: direct link, hf CLI and curl.
- Browser
- Download file 3.08 kB
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https://huggingface.co/stanford-nlpxed/uptake-model/resolve/main/__pycache__/handler.cpython-39.pyc
- Command line
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hf download hf://stanford-nlpxed/uptake-model/__pycache__/handler.cpython-39.pyc
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curl -L -o handler.cpython-39.pyc https://huggingface.co/stanford-nlpxed/uptake-model/resolve/main/__pycache__/handler.cpython-39.pyc
3.08 kB
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