Instructions to use phpthinh/pho2e-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phpthinh/pho2e-5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="phpthinh/pho2e-5")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("phpthinh/pho2e-5") model = AutoModel.from_pretrained("phpthinh/pho2e-5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18b5fee69bf2f2e2833299980ac741538f5b93f57b9a8acaffa7c6cbab6163f5
- Size of remote file:
- 346 MB
- SHA256:
- 6b87ce7cb417312444b9e68794b4a13241ffffb2cfff83098fffd97eb331c3b8
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