Instructions to use halilibr/dilbazlar-depression-disorders-recognition-tr-model-acc-82 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use halilibr/dilbazlar-depression-disorders-recognition-tr-model-acc-82 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="halilibr/dilbazlar-depression-disorders-recognition-tr-model-acc-82")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("halilibr/dilbazlar-depression-disorders-recognition-tr-model-acc-82") model = AutoModelForSequenceClassification.from_pretrained("halilibr/dilbazlar-depression-disorders-recognition-tr-model-acc-82", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
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