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:
- f997becde3ef8b22ea3952ad384119f870e74f53efe0bd9eb4b11cd032e77fd7
- Size of remote file:
- 390 MB
- SHA256:
- 874704cb52337c97e0fb15e15c20d37c1f70abac237abc3c36d9f9b380ca5640
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