Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Veelane/text_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Veelane/text_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Veelane/text_classification_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Veelane/text_classification_model") model = AutoModelForSequenceClassification.from_pretrained("Veelane/text_classification_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9017344635cb21b50f3e442c13e826639360d3211853a39bb4d40eb967a9f6fa
- Size of remote file:
- 5.2 kB
- SHA256:
- cd24cddd39dd983786e6b9b2e2cca52fde76afbd449631ce9a8d39bc3356d3c3
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