Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use hypo69/my_text_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hypo69/my_text_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hypo69/my_text_classification_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hypo69/my_text_classification_model") model = AutoModelForSequenceClassification.from_pretrained("hypo69/my_text_classification_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0eef9bd9356dbe5045794894a50c8ac8d09269b80effc927bd2ae528765e31d4
- Size of remote file:
- 5.37 kB
- SHA256:
- cf94c70f62ac1c683655ec4b54bf02e702797910a5840f7e3d302835a2a90821
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