Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use userLiii/distilbert-base-uncased-distilled-clinc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use userLiii/distilbert-base-uncased-distilled-clinc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="userLiii/distilbert-base-uncased-distilled-clinc")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("userLiii/distilbert-base-uncased-distilled-clinc") model = AutoModelForSequenceClassification.from_pretrained("userLiii/distilbert-base-uncased-distilled-clinc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Traing complete
Verified signature727cb33 -
Training in progress, step 4000
Verified signaturedf0a73d -
Training in progress, step 3000
Verified signature9c2eba6
-
Training complete
Verified signature391f2e5 -
Training in progress, step 2500
Verified signature1687dbe -
Training in progress, step 2000
Verified signaturefacede3 -
Training in progress, step 1500
Verified signature8ea6eb4 -
Training in progress, step 500
Verified signature10e8423 -
initial commit
Verified signature75b0634