Instructions to use justtherightsize/small-e-czech-binary-supportive-interactions-cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use justtherightsize/small-e-czech-binary-supportive-interactions-cs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="justtherightsize/small-e-czech-binary-supportive-interactions-cs")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("justtherightsize/small-e-czech-binary-supportive-interactions-cs") model = AutoModel.from_pretrained("justtherightsize/small-e-czech-binary-supportive-interactions-cs") - Notebooks
- Google Colab
- Kaggle
Commit ·
194d186
1
Parent(s): abfee49
Upload tokenizer
Browse files- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +17 -0
- vocab.txt +0 -0
special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"never_split": null,
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"num_labels": 2,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": false,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "ElectraTokenizer",
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"truncation_side": "left",
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"unk_token": "[UNK]"
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}
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vocab.txt
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