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
Commit History
-
Adding `safetensors` variant of this model
d11ebb4
-
Add language tags (#1)
- Add language tags (a554d98b2ababcb9d6f4a5ebbb9f4fa2db026148) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>731b77c
-
Fix language tag
792aaf9 -
Correct pre-training data
ca188d7
-
Remove exbert tag
2d6b564 -
Update model card
6a21abb -
Update model card
7886a04 -
Replace tags
c26df70 -
Update model card
afe7189 -
First draft of model card
381d37c -
First commit
fc15f7b -
initial commit
2573043