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
File size: 134 Bytes
a9ce513 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d1316f44317a966d028a8fa30aaed201b353d94fe22ae489455f841c9ef59f92
size 438032501
|