Instructions to use maikezu/f-actor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maikezu/f-actor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="maikezu/f-actor")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("maikezu/f-actor") model = AutoModel.from_pretrained("maikezu/f-actor") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd1655d2963a96b5ce5053a4b6f30a68c2a79a61246c01784af7041af0c8289e
- Size of remote file:
- 4.94 GB
- SHA256:
- 000d5be570b7e103c3be2f50b3eefcab72051496f0551960579c9c9410312ff7
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