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
Upload folder using huggingface_hub
Browse files
onnx/decoder_model_merged_quantized.onnx
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onnx/encoder_model_quantized.onnx
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