Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use vishnun0027/Text_classification_model_10042024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vishnun0027/Text_classification_model_10042024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vishnun0027/Text_classification_model_10042024")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vishnun0027/Text_classification_model_10042024") model = AutoModelForSequenceClassification.from_pretrained("vishnun0027/Text_classification_model_10042024") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01d06a3e28f85a2a3e47c31e36d240af128e907b10ab35bc645bc74eda349cda
- Size of remote file:
- 4.98 kB
- SHA256:
- c0853616be02cc121f1a545f065df076787eab0e0fc473cd8329ebb1f966f6c5
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