Text Classification
Transformers
PyTorch
Safetensors
English
roberta
depression
text-embeddings-inference
Instructions to use rafalposwiata/roberta-large-depression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rafalposwiata/roberta-large-depression with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rafalposwiata/roberta-large-depression")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rafalposwiata/roberta-large-depression") model = AutoModelForSequenceClassification.from_pretrained("rafalposwiata/roberta-large-depression") - Notebooks
- Google Colab
- Kaggle
Commit ·
25afca2
1
Parent(s): 2048385
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (eecfcb06a980292dcd92432de282017128b29477)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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size 1421503716
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