Instructions to use trashpanda-org/gemma4-26b-DARKLY-DARKNESS-DARKEST-DARKLING-DARKEN-DARK-DARKENED-DARKER-DARKSOME with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trashpanda-org/gemma4-26b-DARKLY-DARKNESS-DARKEST-DARKLING-DARKEN-DARK-DARKENED-DARKER-DARKSOME with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="trashpanda-org/gemma4-26b-DARKLY-DARKNESS-DARKEST-DARKLING-DARKEN-DARK-DARKENED-DARKER-DARKSOME", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("trashpanda-org/gemma4-26b-DARKLY-DARKNESS-DARKEST-DARKLING-DARKEN-DARK-DARKENED-DARKER-DARKSOME", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle