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:
# 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
- Xet hash:
- 9ddda5b71a0214e1c97823200d1f6afa1a183b930542c22113c36ab79dfd7f95
- Size of remote file:
- 782 Bytes
- SHA256:
- 569d5fffdbea7a4b414631b7da54f6e8634c1dc12ee420c7ae6ff73074b44976
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