Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use anonymous813ker/category-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anonymous813ker/category-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anonymous813ker/category-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anonymous813ker/category-classifier") model = AutoModelForSequenceClassification.from_pretrained("anonymous813ker/category-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cda11d3b2af1b0fae4b6dd90ac6c00b3c24152e322055dc45f3760ca1e00bfe
- Size of remote file:
- 5.2 kB
- SHA256:
- 7cfa5b9e7c0dd597953b3182dfb558337cc8782d19102e8125726754f86a9709
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