Text Classification
Transformers
Safetensors
English
distilbert
command-classification
intent-detection
nlp
text-embeddings-inference
Instructions to use jhonacmarvik/distilbert-command-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jhonacmarvik/distilbert-command-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jhonacmarvik/distilbert-command-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jhonacmarvik/distilbert-command-classifier") model = AutoModelForSequenceClassification.from_pretrained("jhonacmarvik/distilbert-command-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e98e9d2dfa135058bf9bdefe9c7ad781a6189b9c03c72c6c93624accd5210e7
- Size of remote file:
- 268 MB
- SHA256:
- 4b920c97e247322efb9eb79d4a91a924679ceebe9cd3d9381625a08334360f64
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