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
question
#2
by kalle07 - opened
what is different to version one ?
We trained v0.2 on Blocks-v0.2. The main difference is that the v0.2 version should handle translation on documents with multiple paragraphs, whereas v0.1 is intended for paragraph-level only (i.e., one paragraph at a time).
jmprcp changed discussion status to closed