Instructions to use AnonymousSub/CASCADE_recipe-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/CASCADE_recipe-bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/CASCADE_recipe-bert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/CASCADE_recipe-bert-base-uncased") model = AutoModel.from_pretrained("AnonymousSub/CASCADE_recipe-bert-base-uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98d7f08c3ac75db9bd8e80d5ad5be90771fc8816c3de4395bd49d773e8fd0077
- Size of remote file:
- 438 MB
- SHA256:
- ce59983d2afe124b4323291f3ac012abc00fb9b1d12240cd7ac7af2ebcf5d09a
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