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:
- df7f9d98086e02ba2e430d67cffbab24da08227b20f38ba929ba337e84f7e126
- Size of remote file:
- 46.8 MB
- SHA256:
- 639d1b18f44323a0023ebcb9f4536254d47df92c165bda434be34808a91b81d7
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