Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use drcoool/category-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use drcoool/category-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="drcoool/category-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("drcoool/category-classifier") model = AutoModelForSequenceClassification.from_pretrained("drcoool/category-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b948ec539082690e3bd818cb32869aefc8c6040d22c1a3f80ddedae1abaafcd7
- Size of remote file:
- 598 MB
- SHA256:
- 7edd8d6d0820e22280573ee98b39ec07e334294f81a4aa36a1a530a68d8352a6
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