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:
- 5801f1684671b4425aad61c3f28061785d132ab48453f33d0d01fa1a5ecc370f
- Size of remote file:
- 14 kB
- SHA256:
- b58ea6db84f06f71f3413d338e868805fc6ce439156fbbb3d6e1268a63844332
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