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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38f0d428dd2c362128a51b6291b03a271ae85578d2ba20253ba4000f7e448deb
- Size of remote file:
- 790 kB
- SHA256:
- 9129bf81ef9d5fcc1797ea3061e789dc5f9e5602786b0490238d207d4219e0f5
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