Instructions to use TuringGame/gpt2-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TuringGame/gpt2-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TuringGame/gpt2-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TuringGame/gpt2-classifier") model = AutoModelForSequenceClassification.from_pretrained("TuringGame/gpt2-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b76c60eede8f25c920bdbf67889f1dbc22a5c789456ff5f4f0b844cae359dd1f
- Size of remote file:
- 5.37 kB
- SHA256:
- b7c02e70db29a4a08b0785de667a1cfa1e521a780dc33decb432554b8c07a58f
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