Instructions to use notshivain1/distilbert-base-uncased-stackoverflow-prediction-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use notshivain1/distilbert-base-uncased-stackoverflow-prediction-V2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="notshivain1/distilbert-base-uncased-stackoverflow-prediction-V2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("notshivain1/distilbert-base-uncased-stackoverflow-prediction-V2") model = AutoModelForSequenceClassification.from_pretrained("notshivain1/distilbert-base-uncased-stackoverflow-prediction-V2") - Notebooks
- Google Colab
- Kaggle