Text Classification
Transformers
Safetensors
English
distilbert
medical
code
mental_health
classifier
text-embeddings-inference
Instructions to use YureiYuri/empathist with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YureiYuri/empathist with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YureiYuri/empathist")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YureiYuri/empathist") model = AutoModelForSequenceClassification.from_pretrained("YureiYuri/empathist", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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empahist model
Verified signature[250/250 00:40, Epoch 10/10] Epoch Training Loss Validation Loss 1 0.120000 0.085659 2 0.032200 0.025766 3 0.016500 0.012932 4 0.033500 0.008377 5 0.007900 0.006705 6 0.006600 0.005649 7 0.031100 0.004833 8 0.052300 0.004521 9 0.005100 0.004437 10 0.027800 0.004337 Detected distortions: overgeneralization: 0.73% catastrophizing: 0.63% black_and_white: 0.26% self_blame: 0.31% mind_reading: 0.25%51d6da3
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