Instructions to use hf-internal-testing/tiny-random-CanineModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-CanineModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-CanineModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-CanineModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-CanineModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
531ef67 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6ef4d8c3179b4076ff6f565d46c4a94fdbb96ee032a43fb665f89e96c363bc12
size 4488041
|