Instructions to use AMead10/Paul-Rosolie-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AMead10/Paul-Rosolie-v0 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("AMead10/Paul-Rosolie-v0") model = AutoModelForPreTraining.from_pretrained("AMead10/Paul-Rosolie-v0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6332d1204eb60a41180e5a7c727e42e6a1b1f9a0efb8f2c56f6a5ae7f967bebe
- Size of remote file:
- 310 MB
- SHA256:
- e32d566f4fb7f7146aeadca1bd803945725dbb61b4a99656c95791a7f516f34e
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