Instructions to use amaye15/Stack-Overflow-Zero-Shot-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amaye15/Stack-Overflow-Zero-Shot-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="amaye15/Stack-Overflow-Zero-Shot-Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("amaye15/Stack-Overflow-Zero-Shot-Classification") model = AutoModelForSequenceClassification.from_pretrained("amaye15/Stack-Overflow-Zero-Shot-Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0dfd132dd8a3d48d23fc20328f764e9f42a2026cbca06b50721f04abf603e79
- Size of remote file:
- 1.74 GB
- SHA256:
- da3257af59bec627ac68cdc795da740ab524a390982cb5f989c64fc45e3d83fd
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