Instructions to use Unbabel/TowerBase-13B-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Unbabel/TowerBase-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/TowerBase-13B-v0.1")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Unbabel/TowerBase-13B-v0.1") model = AutoModelForCausalLM.from_pretrained("Unbabel/TowerBase-13B-v0.1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 691761c019e1702e14a8e32dd3a37fa0c8cb556070b2b710403f38e161bf16df
- Size of remote file:
- 26 GB
- SHA256:
- 7ea5138e733a4a7acb2d2a7c334c626f7a388d60f4df440b529383d01ec1f34d
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