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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Fix typo in model name
Verified signatureda75ee2
-
Update README.md
Verified signature6ea1d9e -
Update config.json
Verified signature5e65e12
-
Upload tokenizer
Verified signatureb6edef8 -
Update generation_config.json
Verified signature05558e9 -
Upload tokenizer
Verified signature7805aa2 -
Upload tokenizer
Verified signature5ac17f9
-
Update README.md
Verified signaturec859eda -
Update README.md
Verified signature76c1288 -
Upload 2 files
Verified signaturef5c10f3 -
Update README.md
Verified signatureadd591b -
Update README.md
Verified signatureafc55d7 -
Upload tokenizer
Verified signature7ec4eef -
Upload LlamaForCausalLM
Verified signatureedbccc1 -
initial commit
Verified signature0d27a8f