Instructions to use George-Ogden/gpt2-finetuned-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use George-Ogden/gpt2-finetuned-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="George-Ogden/gpt2-finetuned-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("George-Ogden/gpt2-finetuned-mnli") model = AutoModelForSequenceClassification.from_pretrained("George-Ogden/gpt2-finetuned-mnli") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f9b95a7fa22845dbdcb877b369e13d43cd638664a7c7b5e66160d953312ec10
- Size of remote file:
- 498 MB
- SHA256:
- 4f247b2aa2c07fdfc533db1af71fb22e3a4ff9b676202d60025a53653895bd74
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