Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Hashuz/AS_MentalQAU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hashuz/AS_MentalQAU with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hashuz/AS_MentalQAU")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hashuz/AS_MentalQAU") model = AutoModelForSequenceClassification.from_pretrained("Hashuz/AS_MentalQAU") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8a04b68dbd97746941ca4427d2db2e81650b9afffa7e28ab960e99c6045170d
- Size of remote file:
- 5.37 kB
- SHA256:
- 2c9e70f6ed2a0ecfc864f4af4e9e1bc42524f1eae4465d443dd00a47573a8984
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