Instructions to use joshswift/phobihsd-proposed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joshswift/phobihsd-proposed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="joshswift/phobihsd-proposed")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("joshswift/phobihsd-proposed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5005f77bc1410bfdfa4f2dd30e7b987aeffb78e21df17d5d5f3d17e5408c9f48
- Size of remote file:
- 541 MB
- SHA256:
- 686857827479a507216e0b356915196f5c487b1d194b02172e131a9eb3318895
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