Instructions to use BeketML/suicide-detection-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BeketML/suicide-detection-text with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BeketML/suicide-detection-text")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BeketML/suicide-detection-text") model = AutoModelForSequenceClassification.from_pretrained("BeketML/suicide-detection-text") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("BeketML/suicide-detection-text")
model = AutoModelForSequenceClassification.from_pretrained("BeketML/suicide-detection-text")Quick Links
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Model tree for BeketML/suicide-detection-text
Base model
FacebookAI/xlm-roberta-base
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BeketML/suicide-detection-text")