Instructions to use hf-internal-testing/tiny-random-ResNetModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ResNetModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hf-internal-testing/tiny-random-ResNetModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-ResNetModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-ResNetModel") - Notebooks
- Google Colab
- Kaggle
File size: 130 Bytes
3d6aa63 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ec7cb9891be438ae8c9a3c5c50ab4183185153b7d1329fc1c569d5e10cacb602
size 83404
|