Instructions to use Unbabel/TowerInstruct-7B-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Unbabel/TowerInstruct-7B-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-7B-v0.1")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Unbabel/TowerInstruct-7B-v0.1") model = AutoModelForCausalLM.from_pretrained("Unbabel/TowerInstruct-7B-v0.1") - Notebooks
- Google Colab
- Kaggle
Update README.md
#11 opened about 1 year ago
by
andre-martins
Adding Evaluation Results
#10 opened about 2 years ago
by
leaderboard-pr-bot
Nice scores guys!
❤️ 1
9
#8 opened over 2 years ago
by
vince62s
Batch inference slower as compared to single inferences
#6 opened over 2 years ago
by
gauranshsoni12
Generation does not terminate on the eos type used in prompting
3
#4 opened over 2 years ago
by
bpop
TowerInstruct takes twice as much space as TowerBase
#3 opened over 2 years ago
by
bpop
Struggling to have it consistant
4
#2 opened over 2 years ago
by
JaimeLugo