Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use vishnun0027/intent_classfication2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vishnun0027/intent_classfication2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vishnun0027/intent_classfication2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vishnun0027/intent_classfication2") model = AutoModelForSequenceClassification.from_pretrained("vishnun0027/intent_classfication2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c0528d27d8949ab60a2eb7c4257868b2f419663a2f4c457936b81731145cc55
- Size of remote file:
- 5.37 kB
- SHA256:
- eabb0ad2e22b9ed1cf5002ef4c4b9b230591ad4cbab88e2463bcbf76c68c5106
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