Text Classification
Transformers
Safetensors
English
bert
mbert
intent-classification
nlp
text-embeddings-inference
Instructions to use tyaisndu/mbert_intent_model_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tyaisndu/mbert_intent_model_v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tyaisndu/mbert_intent_model_v3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tyaisndu/mbert_intent_model_v3") model = AutoModelForSequenceClassification.from_pretrained("tyaisndu/mbert_intent_model_v3") - Notebooks
- Google Colab
- Kaggle
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