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:
- 38cae352a4653211ff7167db1e3317fd0cd1c87ad9c32cdf49cdc253cd22baf9
- Size of remote file:
- 2.33 GB
- SHA256:
- 2c94d65a650ba188aea5879969e54cd1d99b88c941a0a1b497c959a6d31673c4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.