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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update tokenizer_config.json
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
CHANGED
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@@ -91,7 +91,7 @@
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"legacy": false,
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"mask_token": "<MASK>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<
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"padding_side": "left",
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"sep_token": "<SEP>",
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"sp_model_kwargs": {},
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"legacy": false,
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"mask_token": "<MASK>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<|im_end|>",
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"padding_side": "left",
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"sep_token": "<SEP>",
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"sp_model_kwargs": {},
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