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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pere/nb-nn-dev2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download parallel_src_tgt_test.json from pere/nb-nn-dev2: direct link, hf CLI and curl.
- Browser
- Download file 4.98 MB
-
https://huggingface.co/pere/nb-nn-dev2/resolve/main/parallel_src_tgt_test.json
- Command line
-
hf download hf://pere/nb-nn-dev2/parallel_src_tgt_test.json
-
curl -L -o parallel_src_tgt_test.json https://huggingface.co/pere/nb-nn-dev2/resolve/main/parallel_src_tgt_test.json
4.98 MB
- Xet hash:
- 46ad4ec63ce733cd5788bf5a0e7896db865fdc21bd0184bdfdd37a98fcb7cce3
- Size of remote file:
- 4.98 MB
- SHA256:
- 8bfe0f22381943cb2137000540c1fd8d1db6f9a1dfd268f529c894bed8ddc2d1
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