Instructions to use phpthinh/pho5e-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phpthinh/pho5e-5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="phpthinh/pho5e-5")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("phpthinh/pho5e-5") model = AutoModel.from_pretrained("phpthinh/pho5e-5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38b339a170bf40dfda212ab893b7b39db4897ae6fe56e07674407452541d6e8b
- Size of remote file:
- 346 MB
- SHA256:
- 9cee0a34ddd3c1f552bb6d8694658c50df4180e838b396653f93a33105e6927e
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