Instructions to use Ignatfhc/Hhhhh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ignatfhc/Hhhhh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="Ignatfhc/Hhhhh")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("Ignatfhc/Hhhhh") model = AutoModel.from_pretrained("Ignatfhc/Hhhhh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a81fa217b67ef4a1992b48a47651c27a2a19df419eafd1aad9c0bbd5ff49bde3
- Size of remote file:
- 4.69 MB
- SHA256:
- 1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
路
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