Instructions to use mbazaNLP/Quantized_Nllb_Finetuned_Tourism_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_Tourism_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_Tourism_En_Kin_8bit")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mbazaNLP/Quantized_Nllb_Finetuned_Tourism_En_Kin_8bit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b6d481b12caf4339bc4e2a15a6fe24c52aa19134524a8c157bc3ff974da2fd6
- Size of remote file:
- 1.38 GB
- SHA256:
- e4381b3f705c771be07657e9190551da608afd842959a98d50f2c314b46b8282
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