Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use phunganhsang/XMLRoberta_Dataset59KCoDuoi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phunganhsang/XMLRoberta_Dataset59KCoDuoi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="phunganhsang/XMLRoberta_Dataset59KCoDuoi")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("phunganhsang/XMLRoberta_Dataset59KCoDuoi") model = AutoModelForSequenceClassification.from_pretrained("phunganhsang/XMLRoberta_Dataset59KCoDuoi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 487609c62ea38c1d2824c37cf41c2e2f4ebd824d5c0f1df880e037fa8141e62b
- Size of remote file:
- 17.1 MB
- SHA256:
- 1742a608da1249ee2a11741fd2fdb9bc0c4ec18330f7ec4e863ba7cc6e4185ac
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