Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Minh64/ViSoBERT_Domain_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Minh64/ViSoBERT_Domain_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Minh64/ViSoBERT_Domain_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Minh64/ViSoBERT_Domain_classifier") model = AutoModelForSequenceClassification.from_pretrained("Minh64/ViSoBERT_Domain_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 477f53298aba8261f6bf6e8b51e595450720c1fb43ec6cfdfc99e723fe42976e
- Size of remote file:
- 5.3 kB
- SHA256:
- 468b5ac04c9f9845a38b5568e8267de0f6966217764071800dbd26b5adff59a3
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