Text Classification
Transformers
PyTorch
Safetensors
English
roberta
depression
text-embeddings-inference
Instructions to use rafalposwiata/deproberta-large-depression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rafalposwiata/deproberta-large-depression with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rafalposwiata/deproberta-large-depression")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rafalposwiata/deproberta-large-depression") model = AutoModelForSequenceClassification.from_pretrained("rafalposwiata/deproberta-large-depression", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0eff7b1e662a28d375c8b23056eeed4e5a08e3cfc0351cbd66f06f4687ddd021
- Size of remote file:
- 1.42 GB
- SHA256:
- df86cf4f6090fdc3ed1e850c679ca73e59acec285b67544f8cef5b9854101ac2
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