Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use susnato/ADV with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use susnato/ADV with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="susnato/ADV")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("susnato/ADV") model = AutoModelForSequenceClassification.from_pretrained("susnato/ADV") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1245870f3ba34e92bc5db00600cf3ff595ef60c6d49be0a8f9ff76ee1192c85
- Size of remote file:
- 4.92 kB
- SHA256:
- e01196ae295b976ef87ebfa5aa57f7d83b93e8ba3496030d2f305cc09ea07404
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