Text Classification
Transformers
PyTorch
Safetensors
English
electra
classification
suicidality
suicidal text detection
suicidal sentiment
sentiment
suicide
self harm
depression
Instructions to use sentinet/suicidality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sentinet/suicidality with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sentinet/suicidality")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sentinet/suicidality") model = AutoModelForSequenceClassification.from_pretrained("sentinet/suicidality") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0cb82d34cc775dc9990a66d3f2ebba55bcd65bc6beac7e9c1c5ac7102c1f68f
- Size of remote file:
- 438 MB
- SHA256:
- afddf4b4cc11f5c722705494a0b82a32de07383375411a78514abfc385bcdf32
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