Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Hashuz/QT_MentalQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hashuz/QT_MentalQA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hashuz/QT_MentalQA")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hashuz/QT_MentalQA") model = AutoModelForSequenceClassification.from_pretrained("Hashuz/QT_MentalQA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab144a42c9f7e44c28134da350c12d29029c4d731455cf004c327d24b93857c4
- Size of remote file:
- 5.37 kB
- SHA256:
- 39cd454fbb8f32fd608ca03c7bb88baeccf551ecf9cdc510261231805f1da47f
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