Instructions to use koclip/koclip-base-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use koclip/koclip-base-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="koclip/koclip-base-pt")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("koclip/koclip-base-pt") model = AutoModel.from_pretrained("koclip/koclip-base-pt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10be377b5564c9976fd0761bc59b04ce5160d31b4426c34edbcddf8cbaa7f726
- Size of remote file:
- 1.7 GB
- SHA256:
- e8e820f864f596b429d851ee8b4b006d2ca297c87a878d6ec5140d28033ba63a
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