Instructions to use lysandre/dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lysandre/dummy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lysandre/dummy")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lysandre/dummy") model = AutoModelForSequenceClassification.from_pretrained("lysandre/dummy") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 103b3eb179cb9803f02224bec046bbc1a8adf90e97bf5ccf45c881fa4c6eb996
- Size of remote file:
- 433 MB
- SHA256:
- b3691cb56107a3ade763739a720dbd3701e1129a6cba6b831c5777718c7ebff2
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