Instructions to use hf-tiny-model-private/tiny-random-FlavaModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-FlavaModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-FlavaModel")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-FlavaModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-FlavaModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e58d717b92606b4e9098b2ee1e68ac588de9528293928e79cee086a0d6270dec
- Size of remote file:
- 714 kB
- SHA256:
- 6400d64915b882fd4e22b8ffa99033281beb61c245b44a9bfad28b1cef077397
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