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:
- 2b0183e503d7e1f3fdb6deb18c12efd07e6a95432c51becc0b3f13016a9cffed
- Size of remote file:
- 534 kB
- SHA256:
- 96efa95d1f31b6a65122c92d942c4dc0abcbbe115707e1e5032baceab1e928cc
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