Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Parthiban007/Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Parthiban007/Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Parthiban007/Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Parthiban007/Classifier") model = AutoModelForSequenceClassification.from_pretrained("Parthiban007/Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5e990bfcc0e85a5bbde6b12a93d82542a4f9195891df2662a16ae01973b63e1
- Size of remote file:
- 5.18 kB
- SHA256:
- b5a4f80502459a9a19acbcef6dbf0188be251d0b27df532a6d834b600feb70c4
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