Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use zluvolyote/DEREXP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zluvolyote/DEREXP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zluvolyote/DEREXP")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zluvolyote/DEREXP") model = AutoModelForSequenceClassification.from_pretrained("zluvolyote/DEREXP", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52ed8e6dd1ad1b53b065a8e9fd574dcd8dd1ea2592e78ebf32eb85da930e118b
- Size of remote file:
- 268 MB
- SHA256:
- 0aba896c16e9c4a86ec3cf1eb69a0aba5f3d5dbd4e5fd46dca57c74bc64820ed
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