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:
- 7842073fc2e5ccfc38d6d4574ee0ff49e3dfc56b3b90e3dcf098b55c209105d3
- Size of remote file:
- 56.5 MB
- SHA256:
- ca1bcadb5056932995c6779e8af4f4a2944fcdc34752162edcf11ed99a983dc6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.