Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use dstefa/mental-roberta_stress_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dstefa/mental-roberta_stress_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dstefa/mental-roberta_stress_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dstefa/mental-roberta_stress_classification") model = AutoModelForSequenceClassification.from_pretrained("dstefa/mental-roberta_stress_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52a4cb3b6834563b7f0b84d393290d637fa6535ebd86d18a235fa86a05e08613
- Size of remote file:
- 4.98 kB
- SHA256:
- 6c8d5920b07b3ae8e0d406ea524aabf484b5d1331aa22fd1ef4a039d034b6af7
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