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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0278792df95a8ec212899917239d0e7b6af8e934f705a452beabf14e0e86f9ab
- Size of remote file:
- 1.11 GB
- SHA256:
- 429681fa1a59e8b131922b58034357e13414e976db3cee6b976be40034bc94e4
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