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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c9daae32a02aea6045b4eb2ecd2eaacbcf3295e52b5761d0b9805f870d5feb3
- Size of remote file:
- 3.25 kB
- SHA256:
- 127d521a665e4d0b2866cc1d4347b40908e5b3e7605d8b1bf92edbd871218dd6
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