Instructions to use Unbabel/TowerInstruct-WMT24-Chat-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Unbabel/TowerInstruct-WMT24-Chat-7B 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/TowerInstruct-WMT24-Chat-7B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Unbabel/TowerInstruct-WMT24-Chat-7B") model = AutoModelForCausalLM.from_pretrained("Unbabel/TowerInstruct-WMT24-Chat-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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### Model Description
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TowerInstruct-WMT24-Chat-7B is
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TowerInstruct-WMT24-Chat-7B was the best submission of the shared task, winning on all 10 language pairs according to human evaluation (see the task's findings paper [here](https://aclanthology.org/2024.wmt-1.59.pdf)).
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### Model Description
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TowerInstruct-WMT24-Chat-7B is a language model that results from fine-tuning TowerBase on TowerBlocks and the WMT24 Chat MT Shared task training set.
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TowerInstruct-WMT24-Chat-7B was the best submission of the shared task, winning on all 10 language pairs according to human evaluation (see the task's findings paper [here](https://aclanthology.org/2024.wmt-1.59.pdf)).
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