Instructions to use WinF/stackorderflow-filter-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WinF/stackorderflow-filter-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="WinF/stackorderflow-filter-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("WinF/stackorderflow-filter-v1") model = AutoModelForSequenceClassification.from_pretrained("WinF/stackorderflow-filter-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3eaadd7d4726d5b1631e62a4ad8047e47f6faf316da82ad3c9bbea60a647e09b
- Size of remote file:
- 113 MB
- SHA256:
- acb973e2b81451eb8d309faccf46312bf7985c3c00d2701cc96d0d864a844dfc
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