Instructions to use google/canine-s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/canine-s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="google/canine-s")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("google/canine-s") model = AutoModel.from_pretrained("google/canine-s", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from google/canine-s: direct link, hf CLI and curl.
- Browser
- Download file 529 MB
-
https://huggingface.co/google/canine-s/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://google/canine-s/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/google/canine-s/resolve/main/pytorch_model.bin
529 MB
- Xet hash:
- 159c9cdf06345140e62ab38556e2b07eb8d64d5c4acd2e4646b62d05b41f3912
- Size of remote file:
- 529 MB
- SHA256:
- 29597dae5a7818dd6eae9d58b91033c760f9324d0a35ec0065180eb6c424f9b5
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