Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use vishnun0027/intent_classfication with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vishnun0027/intent_classfication with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vishnun0027/intent_classfication")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vishnun0027/intent_classfication") model = AutoModelForSequenceClassification.from_pretrained("vishnun0027/intent_classfication") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a50a82a93a7138c76f32e4b7a8ce22f2877e84f8b4cb09904ba2279dabe1657c
- Size of remote file:
- 5.37 kB
- SHA256:
- 467c28f9e93b807df43ef966fc5f3aed3bacf8defe140978b4720ca8302dee32
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