Instructions to use Unbabel/TowerInstruct-WMT24-Chat-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Unbabel/TowerInstruct-WMT24-Chat-7B 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-WMT24-Chat-7B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Unbabel/TowerInstruct-WMT24-Chat-7B") model = AutoModelForCausalLM.from_pretrained("Unbabel/TowerInstruct-WMT24-Chat-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 555c188454c3dc8bb01c00b75c1534f172db97eb53158827d64c7147591366ad
- Size of remote file:
- 1.06 kB
- SHA256:
- cda74cda78125cfad5a2d4b09c5a8c8327b1a8d68aa04ba8799fe223d26bcee8
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