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:
- 8cb9b0d439e7b33b35ca4b3d9715488e17577c28313fae949c7252645f32438e
- Size of remote file:
- 4.6 kB
- SHA256:
- 8db7905eb29d68cf90b52813255e25e58e069aff19d6869d854bc9975fcf00e4
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