Instructions to use Lennard-Heuer/Trained_LLM_Task3_2025_11_23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lennard-Heuer/Trained_LLM_Task3_2025_11_23 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Lennard-Heuer/Trained_LLM_Task3_2025_11_23", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91f1bc68d6688337a3faf6275dfc2641ee8164a34eef6027a52e6a1a411484ee
- Size of remote file:
- 17.2 MB
- SHA256:
- 510d12ec255f4cb0304aa5428d699c354c1a49696b427a2748a7b03bb7bbb575
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