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
ViSoBERT_Domain_classifier / runs /May22_12-47-01_58fe2e2e2d00 /events.out.tfevents.1747918023.58fe2e2e2d00.2257.0
- Xet hash:
- b273fea794f82d0a92ff8c82c3b4dff99cd21a394a378c2f4d36898e377fd8f8
- Size of remote file:
- 6.65 kB
- SHA256:
- d8f8cb17b3289263646144d60b2b140babf00b72df09a10fa0f6c3cc38f8a4b8
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