Instructions to use karangupta224/mental_roberta_suicide with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karangupta224/mental_roberta_suicide with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karangupta224/mental_roberta_suicide")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karangupta224/mental_roberta_suicide") model = AutoModelForSequenceClassification.from_pretrained("karangupta224/mental_roberta_suicide", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from karangupta224/mental_roberta_suicide: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/karangupta224/mental_roberta_suicide/resolve/main/training_args.bin
- Command line
-
hf download hf://karangupta224/mental_roberta_suicide/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/karangupta224/mental_roberta_suicide/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- 095bc3edacebf1cb515dbab06c1df8d1d6b8f4d2adb72e8de84305de7d986d9f
- Size of remote file:
- 4.86 kB
- SHA256:
- 0362f8549e77efad4a5ba432890e1406ecbd6eb1352c6c84fb73a56dca20a500
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