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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f8586fd7d1b79ef50872c15b1ce1601564c2b6a17ad957c16338d8e648a2c28
- Size of remote file:
- 438 MB
- SHA256:
- d61f3bb3b6876167254d09e5a6fabb711fd739d9b2f976617aa0ea0566736fde
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