Instructions to use dshin/violation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dshin/violation-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dshin/violation-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dshin/violation-model") model = AutoModelForSequenceClassification.from_pretrained("dshin/violation-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd1e0548ea1ff0594a2f52f35071f7d6338b28f65e6dc9e4f33ef8ab03db9232
- Size of remote file:
- 46.8 MB
- SHA256:
- 43149adbc5fe978294ef60047bdcd91b9d66187a8d3acfed277d766342fce5fd
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