Instructions to use hallisky/cds_style_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hallisky/cds_style_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hallisky/cds_style_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hallisky/cds_style_classifier") model = AutoModelForSequenceClassification.from_pretrained("hallisky/cds_style_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12be7751ed3a2288477d6113251a5959a635db0a393304bdf9805da635623d46
- Size of remote file:
- 2.84 GB
- SHA256:
- 935b949ee06fc90132b7284b4a194739d8ef4abaa392923a5134fd1d348d46a3
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