Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Sohaibsoussi/distilbert-base-uncased-distilled-finetuned-clinc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sohaibsoussi/distilbert-base-uncased-distilled-finetuned-clinc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sohaibsoussi/distilbert-base-uncased-distilled-finetuned-clinc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sohaibsoussi/distilbert-base-uncased-distilled-finetuned-clinc") model = AutoModelForSequenceClassification.from_pretrained("Sohaibsoussi/distilbert-base-uncased-distilled-finetuned-clinc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d84f5e8c5106211c6d1e525862e818ac6a310dd7cfb1ce4158b240a2b1eadf64
- Size of remote file:
- 268 MB
- SHA256:
- efcae9c98ffe2237bf1cb8d1b1b26561b72d03757b0008a016371cb18194f48c
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