Instructions to use andreas122001/bloomz-3b-mixed-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreas122001/bloomz-3b-mixed-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andreas122001/bloomz-3b-mixed-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andreas122001/bloomz-3b-mixed-detector") model = AutoModelForSequenceClassification.from_pretrained("andreas122001/bloomz-3b-mixed-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b67995e8bbcaa32a6b5520c8994b19f81d3b8ae4ea11cb56d6f983027a667123
- Size of remote file:
- 14.5 MB
- SHA256:
- a3955d17bdf8285663734ab4418c7a0d6397bf2fa7d7a2f8d820f23b3130cd48
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