Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use susnato/ADV_query with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use susnato/ADV_query with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="susnato/ADV_query")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("susnato/ADV_query") model = AutoModelForSequenceClassification.from_pretrained("susnato/ADV_query") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 008676eec4e888e4151b36949cbb153ad6da88cf9946ed04ac9c93b5dfd4ccf3
- Size of remote file:
- 4.98 kB
- SHA256:
- c8518ece618dff4d6c24b540ae57f1809bac40de0d6b6ab67590db00d7896ba5
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