Instructions to use Splend1dchan/phoneme-bart-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Splend1dchan/phoneme-bart-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Splend1dchan/phoneme-bart-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Splend1dchan/phoneme-bart-base") model = AutoModel.from_pretrained("Splend1dchan/phoneme-bart-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
94360f6
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Parent(s): a6d85fe
change tokenizer to bert
Browse files- special_tokens_map.json +0 -1
- tokenizer.json +0 -0
- tokenizer_config.json +0 -0
- vocab.json +0 -0
- merges.txt → vocab.txt +0 -0
special_tokens_map.json
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}
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tokenizer.json
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tokenizer_config.json
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vocab.json
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merges.txt → vocab.txt
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