Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use dibkunnskap/classifier-32-labels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dibkunnskap/classifier-32-labels with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dibkunnskap/classifier-32-labels")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dibkunnskap/classifier-32-labels") model = AutoModelForSequenceClassification.from_pretrained("dibkunnskap/classifier-32-labels", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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