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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e58ec5351d858271a477507d0807a95b797e1031602ac8eba239c1dc144eab3
- Size of remote file:
- 17.2 MB
- SHA256:
- 94ab28ded5e09feacfd3036e8038bef0e2f7fd23f6a30721eec01b1f8f5ae3ab
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