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:
- 963f3016bfc8c80eef3d1ce6655df771a3cdc09809a180a74358b3c2df648853
- Size of remote file:
- 4.97 GB
- SHA256:
- 2e37d435500245746d4f0c3c8b9dafa399fd58ce6bd667968c9ddd8338320a4e
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