Instructions to use hf-internal-testing/tiny-random-CvtModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-CvtModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-CvtModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-CvtModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-CvtModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbbee8ee2baf7a96531ae83f798f27d2f965bd9adcca08a6068146cc7aaf51f2
- Size of remote file:
- 5.25 MB
- SHA256:
- 97539abc2b3cc2ae52c5c762674eadbc0bd73be4a7d241241a05efe69539b598
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