Instructions to use wiorz/gpt2_test_sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wiorz/gpt2_test_sm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wiorz/gpt2_test_sm")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wiorz/gpt2_test_sm") model = AutoModelForSequenceClassification.from_pretrained("wiorz/gpt2_test_sm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed51791a2571ab0387d45fd011c4232a3fb9621bee0c60c6c259e35bc0d4d4f1
- Size of remote file:
- 510 MB
- SHA256:
- b16ab0bb85bd04bfda2e08cb6faac5e44ae764d822cda16ee623b58dad06602e
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