Translation
Transformers
Safetensors
English
Wolof
marian
text2text-generation
machine-translation
low-resource
english
wolof
Eval Results (legacy)
Instructions to use LocaleNLP/eng_wolof with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LocaleNLP/eng_wolof 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="LocaleNLP/eng_wolof")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("LocaleNLP/eng_wolof") model = AutoModelForSeq2SeqLM.from_pretrained("LocaleNLP/eng_wolof") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
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- Serves as a base for further fine-tuning on domain-specific Wolof corpora.
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### Out-of-Scope Use
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- Serves as a base for further fine-tuning on domain-specific Wolof corpora.
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### Out-of-Scope Use
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- Suitable for legal and medical translations (e.g., contracts, prescriptions, medical records).
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- Mistranslations may occur, like any automated system.
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- Review recommended as the model can sometimes mistranslate.
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