Instructions to use Rogendo/sw-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rogendo/sw-en 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="Rogendo/sw-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Rogendo/sw-en") model = AutoModelForSeq2SeqLM.from_pretrained("Rogendo/sw-en") - Notebooks
- Google Colab
- Kaggle
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README.md
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license:
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# Model Card for Model ID
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license: apache-2.0
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datasets:
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- Rogendo/English-Swahili-Sentence-Pairs
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language:
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- sw
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- en
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metrics:
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- accuracy
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base_model:
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- Helsinki-NLP/opus-mt-swc-en
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library_name: transformers
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tags:
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- translation
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- sw-en
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# Model Card for Model ID
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