Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ClaraPind/distilbert-base-uncased-clinc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ClaraPind/distilbert-base-uncased-clinc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ClaraPind/distilbert-base-uncased-clinc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ClaraPind/distilbert-base-uncased-clinc") model = AutoModelForSequenceClassification.from_pretrained("ClaraPind/distilbert-base-uncased-clinc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K