Instructions to use Unbabel/TowerInstruct-13B-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Unbabel/TowerInstruct-13B-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/TowerInstruct-13B-v0.1")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Unbabel/TowerInstruct-13B-v0.1") model = AutoModelForCausalLM.from_pretrained("Unbabel/TowerInstruct-13B-v0.1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b07b889064e56e76521474a826893f1b8335ee8fc8c53aa0a1d31fc8a94efec2
- Size of remote file:
- 2.98 GB
- SHA256:
- 47bcba156e21d5844631f35cb7aba68b7b1a1f547a6caa159cfb682915c543b7
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