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:
- b87b2a0fa6450f80795d365303f358ef0cd3fdd726fed07a6b6c4cd02bca0aa3
- Size of remote file:
- 438 MB
- SHA256:
- ffb9531e28d347f4a82f41054be556d6b2363573d805b3c69b79f76a41e88db9
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