Instructions to use MonumentalSystems/nllb-200-distilled-1.3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MonumentalSystems/nllb-200-distilled-1.3B 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="MonumentalSystems/nllb-200-distilled-1.3B")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MonumentalSystems/nllb-200-distilled-1.3B") model = AutoModelForSeq2SeqLM.from_pretrained("MonumentalSystems/nllb-200-distilled-1.3B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
NLLB-200 distilled 1.3B (safetensors)
A faithful safetensors repackaging of the pristine upstream
facebook/nllb-200-distilled-1.3B
— same fp32 weights (vocab 256206, d_model 1024, 24+24 layers), config, and
tokenizer, converted to sharded safetensors. The 1.3B counterpart to
MonumentalSystems/nllb-200-3.3B.
No fine-tuning or vocabulary changes; identical outputs to the upstream model. Licensed CC-BY-NC-4.0 per the upstream NLLB-200 release.
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Model tree for MonumentalSystems/nllb-200-distilled-1.3B
Base model
facebook/nllb-200-distilled-1.3B