Translation
Transformers
ONNX
Safetensors
Spanish
Zapotec
m2m_100
text2text-generation
nllb
zapotec
diidxaza
low-resource
zai
Juchitan
translator
oaxaca
Machine
lora
facebook
finetuned
Instructions to use simpleverso/espzap-nllb-600m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simpleverso/espzap-nllb-600m 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="simpleverso/espzap-nllb-600m")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("simpleverso/espzap-nllb-600m") model = AutoModelForSeq2SeqLM.from_pretrained("simpleverso/espzap-nllb-600m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Gonzalo Santiago Martinez
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## Disclaimer:
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Gonzalo Santiago Martinez
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## Disclaimer:
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Any translation is provided for convenience only. The author makes no warranty of any kind, express or implied, as to the accuracy, reliability, or correctness of any translations. Any reliance on the translated text is at the user's own risk. The author are not liable for any harm, loss, or damage resulting from the use of or reliance on this translation tool.
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