Instructions to use AIPsy/bert-base-therapist-topic-classification-eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIPsy/bert-base-therapist-topic-classification-eng with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AIPsy/bert-base-therapist-topic-classification-eng")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AIPsy/bert-base-therapist-topic-classification-eng") model = AutoModelForSequenceClassification.from_pretrained("AIPsy/bert-base-therapist-topic-classification-eng", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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| 32 | Revisiting the Past Together | 0.78 | 0.60 | 0.68 |
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| 33 | Drinking Habits and Concerns | 0.69 | 0.79 | 0.73 |
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| 34 | Managing and Increasing Energy Levels | 0.54 | 0.62 | 0.58 |
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| 32 | Revisiting the Past Together | 0.78 | 0.60 | 0.68 |
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| 33 | Drinking Habits and Concerns | 0.69 | 0.79 | 0.73 |
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| 34 | Managing and Increasing Energy Levels | 0.54 | 0.62 | 0.58 |
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| 35 | Understanding Depression and Its Roots | 0.65 | 0.85 | 0.73 |
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| 36 | Nervous System and Stress Response | 0.61 | 0.67 | 0.64 |
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