Instructions to use edbeeching/gpt2_stack-exchange-paired_rmts_1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edbeeching/gpt2_stack-exchange-paired_rmts_1000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="edbeeching/gpt2_stack-exchange-paired_rmts_1000")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("edbeeching/gpt2_stack-exchange-paired_rmts_1000") model = AutoModelForSequenceClassification.from_pretrained("edbeeching/gpt2_stack-exchange-paired_rmts_1000") - Notebooks
- Google Colab
- Kaggle
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