Instructions to use gohjiayi/suicidal-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gohjiayi/suicidal-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gohjiayi/suicidal-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gohjiayi/suicidal-bert") model = AutoModelForSequenceClassification.from_pretrained("gohjiayi/suicidal-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from gohjiayi/suicidal-bert: direct link, hf CLI and curl.
- Browser
- Download file 2.8 kB
-
https://huggingface.co/gohjiayi/suicidal-bert/resolve/main/training_args.bin
- Command line
-
hf download hf://gohjiayi/suicidal-bert/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/gohjiayi/suicidal-bert/resolve/main/training_args.bin
2.8 kB
- Xet hash:
- e033ef1b76f4d5eb7ba4c717ca95c252f0062ab75f1c558dfebf1ee467c32379
- Size of remote file:
- 2.8 kB
- SHA256:
- 5a6478101e5ba1c07a5769425764dc3cb1efcb9dfbd331593b3119a42a5d1358
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