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:
- bdd74b526f815435f100b7b72e4749e322c20aa798214d1c5324a49487aa45be
- Size of remote file:
- 499 MB
- SHA256:
- c9e8395a953c42b0a95783f4fc40ab6f37d28dc1c3ec3bba2a8dc0458a1658c4
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