Translation
Transformers
Safetensors
Arabic
m2m_100
text-generation
nllb
fine-tuning
darija
moroccan
Instructions to use tachicart/nllb-ft-darija with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tachicart/nllb-ft-darija 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="tachicart/nllb-ft-darija")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tachicart/nllb-ft-darija") model = AutoModelForSeq2SeqLM.from_pretrained("tachicart/nllb-ft-darija") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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