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 generation config to do greedy decoding by default.
Browse files- generation_config.json +1 -0
generation_config.json
CHANGED
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@@ -2,5 +2,6 @@
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 32005,
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"transformers_version": "4.36.2"
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}
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 32005,
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+
"do_sample": false,
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"transformers_version": "4.36.2"
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}
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