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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("WinF/stackorderflow-filter-v1") model = AutoModelForSequenceClassification.from_pretrained("WinF/stackorderflow-filter-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from WinF/stackorderflow-filter-v1: direct link, hf CLI and curl.
- Browser
- Download file 56.5 MB
-
https://huggingface.co/WinF/stackorderflow-filter-v1/resolve/main/model.safetensors
- Command line
-
hf download hf://WinF/stackorderflow-filter-v1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/WinF/stackorderflow-filter-v1/resolve/main/model.safetensors
56.5 MB
- Xet hash:
- 7842073fc2e5ccfc38d6d4574ee0ff49e3dfc56b3b90e3dcf098b55c209105d3
- Size of remote file:
- 56.5 MB
- SHA256:
- ca1bcadb5056932995c6779e8af4f4a2944fcdc34752162edcf11ed99a983dc6
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