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:
- 148b4fc0e854cf4b2796b12c13c6bf31a0943f8d5bbe5991ce1413fb86363a74
- Size of remote file:
- 1.06 kB
- SHA256:
- 0078bef835dc8db8abd05b0bbc25ef4d33915b6fc26849ab969bb6f803a57f4c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.