Translation
Transformers
Safetensors
Susu
French
English
m2m_100
text2text-generation
susu
soussou
nllb
low-resource
Instructions to use 2ADT-Consulting/nllb-susu-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 2ADT-Consulting/nllb-susu-v2 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="2ADT-Consulting/nllb-susu-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("2ADT-Consulting/nllb-susu-v2") model = AutoModelForSeq2SeqLM.from_pretrained("2ADT-Consulting/nllb-susu-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc3129c3e02d216cb3cec46a39f7d1ef1896c3bd2684bb825ecac0a7b8755324
- Size of remote file:
- 32.2 MB
- SHA256:
- 9290cf52d309e237ff2049b8876e1d911c372b97b4ae9a0b25d6a3a53915c987
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