Instructions to use sagarnildass/suicide_detector_roberta_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sagarnildass/suicide_detector_roberta_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sagarnildass/suicide_detector_roberta_base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sagarnildass/suicide_detector_roberta_base") model = AutoModelForSequenceClassification.from_pretrained("sagarnildass/suicide_detector_roberta_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from sagarnildass/suicide_detector_roberta_base: direct link, hf CLI and curl.
- Browser
- Download file 997 MB
-
https://huggingface.co/sagarnildass/suicide_detector_roberta_base/resolve/main/optimizer.pt
- Command line
-
hf download hf://sagarnildass/suicide_detector_roberta_base/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/sagarnildass/suicide_detector_roberta_base/resolve/main/optimizer.pt
997 MB
- Xet hash:
- c87249dcb2369ccd76299f305b6b7690c01d4004abbd78df933a3bac4c9ff0e8
- Size of remote file:
- 997 MB
- SHA256:
- 2f35b9cc7c5a84e6cf54f92bb4005b6e0b4b7ebaf00266749e59aa8467058bad
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