Instructions to use mengzhouxia/dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mengzhouxia/dummy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mengzhouxia/dummy")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mengzhouxia/dummy") model = AutoModelForSequenceClassification.from_pretrained("mengzhouxia/dummy") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37e2d57e3d35c98d75b9ce31aaf907b056aa6e2f9afcc0aa91f31580f950f6b7
- Size of remote file:
- 117 MB
- SHA256:
- b3dc305e6d3ed75c2108e0bf35ff3db58cdb70c25f875a6287f9931d0b1b27bb
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