Instructions to use linqus/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use linqus/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="linqus/dummy-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("linqus/dummy-model") model = AutoModelForMaskedLM.from_pretrained("linqus/dummy-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Delete special_tokens_map.json
Browse files- special_tokens_map.json +0 -20
special_tokens_map.json
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{
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"additional_special_tokens": [
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"<s>NOTUSED",
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"</s>NOTUSED",
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"<unk>NOTUSED"
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],
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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}
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