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
README: link to TROUBLESHOOTING.md
Browse files
README.md
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| `requirements.txt` | Extra Python deps installed into the endpoint container. |
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| `model_loader.py` | One-off script that pushed the base NLLB weights to this repo. |
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| `config.json`, `tokenizer*`, `*.safetensors` | Model + tokenizer artifacts (pushed by `model_loader.py`). |
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## License
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| `requirements.txt` | Extra Python deps installed into the endpoint container. |
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| `model_loader.py` | One-off script that pushed the base NLLB weights to this repo. |
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| `config.json`, `tokenizer*`, `*.safetensors` | Model + tokenizer artifacts (pushed by `model_loader.py`). |
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| `TROUBLESHOOTING.md` | Real deploy failures we hit and how we fixed them — read this first if the endpoint won't start. |
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## License
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