Instructions to use google/canine-c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/canine-c with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="google/canine-c")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("google/canine-c") model = AutoModel.from_pretrained("google/canine-c") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7338a5d7ae903be862f012e50ef1be3076989e25b39fe5e8c8833232c295478c
- Size of remote file:
- 529 MB
- SHA256:
- e83c29bdbaf959bde77d66c334ea077e9f980a6e6973197230c3bbb90f924470
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