Instructions to use The-Adnan-Syed/Stress_Classifier_BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use The-Adnan-Syed/Stress_Classifier_BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="The-Adnan-Syed/Stress_Classifier_BERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("The-Adnan-Syed/Stress_Classifier_BERT") model = AutoModelForSequenceClassification.from_pretrained("The-Adnan-Syed/Stress_Classifier_BERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload label_encoder.joblib
Browse files- label_encoder.joblib +3 -0
label_encoder.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:0391e47895e594174e83bb24b80bc11e60765e764f788ac963ff1115f9441455
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size 598
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