Instructions to use WideMan/gpt2-medium-dutch_dutch-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WideMan/gpt2-medium-dutch_dutch-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="WideMan/gpt2-medium-dutch_dutch-cola")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("WideMan/gpt2-medium-dutch_dutch-cola") model = AutoModelForSequenceClassification.from_pretrained("WideMan/gpt2-medium-dutch_dutch-cola", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9cd00fdcccd5b0384112475ac4c18a88c9db7fed29d01bed13046ad237ba1be
- Size of remote file:
- 1.42 GB
- SHA256:
- ded028651f95541ebaec164daa668c1c15729bb6fa5f7f1b29a38eae2906e8a8
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