Instructions to use reubenjohn/stack-overflow-open-status-classifier-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reubenjohn/stack-overflow-open-status-classifier-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="reubenjohn/stack-overflow-open-status-classifier-pt")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("reubenjohn/stack-overflow-open-status-classifier-pt") model = AutoModelForSequenceClassification.from_pretrained("reubenjohn/stack-overflow-open-status-classifier-pt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23cb14ad7321f9a5337ece22d1cf1c3117d62d0bc9287886174ae995fdd0c638
- Size of remote file:
- 3.45 kB
- SHA256:
- cd23465430d21947896cfec774e533a1c69d510e7d7ca7a09db439c758e6cf48
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.