Instructions to use Lennard-Heuer/Trained_LLM_Task4_2025_9_12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lennard-Heuer/Trained_LLM_Task4_2025_9_12 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Lennard-Heuer/Trained_LLM_Task4_2025_9_12", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b24ebee96dc97b89e9bafc8ff92908dd2544391bcdee39ac35ddd8286ffc8d4b
- Size of remote file:
- 17.2 MB
- SHA256:
- 510d12ec255f4cb0304aa5428d699c354c1a49696b427a2748a7b03bb7bbb575
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