Instructions to use LaurentRothuizen/querygenerator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LaurentRothuizen/querygenerator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="LaurentRothuizen/querygenerator", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("LaurentRothuizen/querygenerator") model = AutoModel.from_pretrained("LaurentRothuizen/querygenerator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
d799280
1
Parent(s): d79f74d
add tokenizer
Browse files- tokenizer.json +0 -0
- tokenizer_config.json +2 -1
tokenizer.json
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tokenizer_config.json
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@@ -103,9 +103,10 @@
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],
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"eos_token": "</s>",
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"extra_ids": 100,
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"name_or_path": "/tmp/weights",
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"pad_token": "<pad>",
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"special_tokens_map_file": "/
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"tokenizer_class": "T5Tokenizer",
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"unk_token": "<unk>"
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}
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],
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"eos_token": "</s>",
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"extra_ids": 100,
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"model_max_length": 1000000000000000019884624838656,
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"name_or_path": "/tmp/weights",
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"pad_token": "<pad>",
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"special_tokens_map_file": "/home/wim/Documents/datascience-vraag-antwoord-systeem/model/weights/special_tokens_map.json",
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"tokenizer_class": "T5Tokenizer",
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"unk_token": "<unk>"
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}
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