Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use vishnun0027/dgadetection_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vishnun0027/dgadetection_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vishnun0027/dgadetection_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vishnun0027/dgadetection_model") model = AutoModelForSequenceClassification.from_pretrained("vishnun0027/dgadetection_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8606e35f81ddbe944377e7bcc1de6a5c82c64649aeca0d93ada2ad76d757b1d1
- Size of remote file:
- 5.3 kB
- SHA256:
- d112383ba0426fc799742ae7a437d1c64f152ad5795eff6e836eec81e1cd19f6
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