Instructions to use pere/nb-nn-dev2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pere/nb-nn-dev2 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="pere/nb-nn-dev2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pere/nb-nn-dev2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6419dc47707a998899c534550781ccb57e269f71aa2b7c4755c541fa8d231da4
- Size of remote file:
- 1.1 GB
- SHA256:
- 03a54383bbd554e991d7a35d4b3da347b60ad4c188c9b7e03f60064bcc3d0c33
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.