Instructions to use cuadron11/suicide-albert-7-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuadron11/suicide-albert-7-4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cuadron11/suicide-albert-7-4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cuadron11/suicide-albert-7-4") model = AutoModelForSequenceClassification.from_pretrained("cuadron11/suicide-albert-7-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16f47ab22f2d93f2fc712d153c52cae6e67e3401d432134893785ddfaba1b373
- Size of remote file:
- 4.6 kB
- SHA256:
- 770dcefdc494b870757a9374c7dde6d4324fe9ed0df50e6091bfabcd30a20f7f
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