Instructions to use deepmind/language-perceiver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepmind/language-perceiver with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="deepmind/language-perceiver")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("deepmind/language-perceiver") model = AutoModelForMaskedLM.from_pretrained("deepmind/language-perceiver") - Notebooks
- Google Colab
- Kaggle
Add tokenizer config
Browse files- tokenizer_config.json +13 -0
tokenizer_config.json
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{"eos_token":
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{"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"},
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"bos_token":
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{"content": "<bos>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"},
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"pad_token":
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{"content": "<pad>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"},
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"mask_token":
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{"content": "<mask>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"},
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"cls_token":
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{"content": "<cls>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"},
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"sep_token":
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{"content": "<sep>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}
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}
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