Instructions to use Unbabel/TowerInstruct-7B-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Unbabel/TowerInstruct-7B-v0.2 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-7B-v0.2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Unbabel/TowerInstruct-7B-v0.2") model = AutoModelForCausalLM.from_pretrained("Unbabel/TowerInstruct-7B-v0.2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdcef4639c23cc50a43cc41cfd12c4bcaba102475cf672c12a6d2e1a3e275ae8
- Size of remote file:
- 4.86 GB
- SHA256:
- b64dcc203ca11ed242c5c9bbb92ba7f2f91c125e0cf0259637b509f1d78922e9
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