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
- Xet hash:
- a084640ecf17da3891d960261e05389a0b5fc21949dfdba15aff945ac868a803
- Size of remote file:
- 7.8 kB
- SHA256:
- d85d2ff5720e05dbb5441c3d20e7ba4b6a45de57469d8179edcc7769226b30da
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