Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use UocNTh/user_intent_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UocNTh/user_intent_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="UocNTh/user_intent_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("UocNTh/user_intent_test") model = AutoModelForSequenceClassification.from_pretrained("UocNTh/user_intent_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e36e7260b54b2de92842b45b715410f0a235044899d1e3bb90e7a7d86808066
- Size of remote file:
- 4.8 kB
- SHA256:
- 79b810562202f523653fa1ac0973201c8a9c8e35612ab813d749a5feae8c39f8
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