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:
- 53cb6cb36d84720e74043947d601cc592ea445c86b153b022a6639d868357b00
- Size of remote file:
- 2.1 GB
- SHA256:
- efba9bd3f6f68c5d512d9289b81c752a33a160d4a670a496d601c35ab8febf62
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