Translation
Transformers
PyTorch
Safetensors
llama
text-generation
Eval Results (legacy)
text-generation-inference
Instructions to use Unbabel/TowerBase-7B-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Unbabel/TowerBase-7B-v0.1 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="Unbabel/TowerBase-7B-v0.1")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Unbabel/TowerBase-7B-v0.1") model = AutoModelForCausalLM.from_pretrained("Unbabel/TowerBase-7B-v0.1") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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We will release more details in the upcoming technical report.
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- **Developed by:** Unbabel, Instituto Superior Técnico, CentraleSupélec University of Paris-Saclay
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- **Model type:** A 7B parameter model built on top of Llama 2 by continuing pretraining on multilingual data.
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- **Language(s) (NLP):** English, Portuguese, Spanish, French, German, Dutch, Italian, Korean, Chinese, Russian
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- **License:** CC-BY-NC-4.0, Llama 2 is licensed under the LLAMA 2 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved.
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We will release more details in the upcoming technical report.
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- **Developed by:** Unbabel, Instituto de Telecomumicações, Instituto Superior Técnico, CentraleSupélec, University of Paris-Saclay
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- **Model type:** A 7B parameter model built on top of Llama 2 by continuing pretraining on multilingual data.
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- **Language(s) (NLP):** English, Portuguese, Spanish, French, German, Dutch, Italian, Korean, Chinese, Russian
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- **License:** CC-BY-NC-4.0, Llama 2 is licensed under the LLAMA 2 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved.
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