Instructions to use Rewire/XTC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rewire/XTC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Rewire/XTC")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Rewire/XTC") model = AutoModelForSequenceClassification.from_pretrained("Rewire/XTC") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3216f8e15825376956183c3b444b518affccac7065428af4a998b83599aa4b3e
- Size of remote file:
- 1.11 GB
- SHA256:
- be6eea2b91a46035fd0b367a9ba403e6164e949e7351302ed09ad352f825527e
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