Instructions to use mbazaNLP/Quantized_Nllb_Finetuned_Edu_En_Kin_8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbazaNLP/Quantized_Nllb_Finetuned_Edu_En_Kin_8bit 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="mbazaNLP/Quantized_Nllb_Finetuned_Edu_En_Kin_8bit")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mbazaNLP/Quantized_Nllb_Finetuned_Edu_En_Kin_8bit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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