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:
- a2c7b2c6c7e97fe3a7e7f93868f44b3729beae104b6ff255d39d9f3d58165cd2
- Size of remote file:
- 4.79 GB
- SHA256:
- 62ca829f4366f35ca9289bb0bb8837bc8859911bade958281c2e6be9761dcb5a
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