Translation
Transformers
Safetensors
multilingual
m2m_100
text2text-generation
nllb
seq2seq
endpoints-template
Instructions to use Resilient-Coders/baseline-nllb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Resilient-Coders/baseline-nllb 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="Resilient-Coders/baseline-nllb")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Resilient-Coders/baseline-nllb") model = AutoModelForSeq2SeqLM.from_pretrained("Resilient-Coders/baseline-nllb") - Notebooks
- Google Colab
- Kaggle
Pin transformers<5 so extra_special_tokens schema stays compatible
Browse files- requirements.txt +1 -1
requirements.txt
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transformers>=4.40.0
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torch>=2.1.0
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sentencepiece>=0.1.99
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protobuf>=3.20.0
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transformers>=4.40.0,<5.0
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torch>=2.1.0
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sentencepiece>=0.1.99
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protobuf>=3.20.0
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