Instructions to use Highway/SubCat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Highway/SubCat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Highway/SubCat")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Highway/SubCat") model = AutoModelForSequenceClassification.from_pretrained("Highway/SubCat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f268bb81202aa8f1026fa1f3c2a4266737d301123f28e499ec78357b165a427
- Size of remote file:
- 438 MB
- SHA256:
- 8336d56ccf8f5274af2b776aed93abd286041842aa3b8a5f10b8ad9ac90c58fe
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