Instructions to use Highway/Conversion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Highway/Conversion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Highway/Conversion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Highway/Conversion") model = AutoModelForSequenceClassification.from_pretrained("Highway/Conversion") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c810391d6cbf17f0ffeb429f112b58996b31c69e45fab0856c3a2d0631e6293
- Size of remote file:
- 438 MB
- SHA256:
- d1316f44317a966d028a8fa30aaed201b353d94fe22ae489455f841c9ef59f92
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