Translation
Transformers
Safetensors
English
Spanish
m2m_100
text2text-generation
Generated from Trainer
Instructions to use rob-wav/nllb-en-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rob-wav/nllb-en-es 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="rob-wav/nllb-en-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rob-wav/nllb-en-es") model = AutoModelForSeq2SeqLM.from_pretrained("rob-wav/nllb-en-es") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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model-index:
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- name: nllb-en-es
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 5.0.0
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- Pytorch 2.10.0+cu128
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- Datasets 4.0.0
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- Tokenizers 0.22.2
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model-index:
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- name: nllb-en-es
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results: []
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language:
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- en
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- es
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metrics:
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- sacrebleu
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pipeline_tag: translation
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 5.0.0
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- Pytorch 2.10.0+cu128
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- Datasets 4.0.0
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- Tokenizers 0.22.2
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