Translation
Transformers
Safetensors
French
Adioukrou
m2m_100
text2text-generation
adja
nllb
low-resource
machine-translation
cs-thesis-may-2026
Instructions to use JosueG/adja-nmt-nllb-600m-forward-r10ks4k-seed42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JosueG/adja-nmt-nllb-600m-forward-r10ks4k-seed42 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="JosueG/adja-nmt-nllb-600m-forward-r10ks4k-seed42")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JosueG/adja-nmt-nllb-600m-forward-r10ks4k-seed42") model = AutoModelForSeq2SeqLM.from_pretrained("JosueG/adja-nmt-nllb-600m-forward-r10ks4k-seed42", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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