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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("google/canine-c") model = AutoModel.from_pretrained("google/canine-c", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#2)
Verified signature- Adding `safetensors` variant of this model (dc3594a2e43bf0f97285b2ccb628f7822aa0035a) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>dc0eaff
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add language tags (#1)
- add language tags (3da4bb5fce02a928d7001d105c9882a9ca72bb19) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>59de14c
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Fix language tag
1e8c8b3 -
Fix typo
c5cca35 -
Correct pre-training data
fc967d1
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Add model card
a8ed06d -
First commit
d6a6fa7 -
initial commit
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