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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Check out our [paper](https://aclanthology.org/2024.wmt-1.100/) for more details and information on training and data.
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Information on model usage, out-of-scope usages, risks, etc...
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## Citation
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Check out our [paper](https://aclanthology.org/2024.wmt-1.100/) for more details and information on training and data.
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Information on model usage, out-of-scope usages, risks, etc... are the same as the model cards of the TowerInstruct models.
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## Citation
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