Instructions to use kykim/funnel-kor-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kykim/funnel-kor-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="kykim/funnel-kor-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kykim/funnel-kor-base") model = AutoModel.from_pretrained("kykim/funnel-kor-base") - Notebooks
- Google Colab
- Kaggle
json format fix in tokenizer_config.json
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
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{"do_lower_case": true, "do_basic_tokenize": true, "never_split": null, "unk_token": "<unk>", "sep_token": "<sep>", "pad_token": "<pad>", "cls_token": "<cls>", "mask_token": "<mask>", "tokenize_chinese_chars": true, "strip_accents": false, "bos_token": "<s>", "eos_token": "</s>", "model_max_length": 512, "special_tokens_map_file": null, "tokenizer_file": null
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{"do_lower_case": true, "do_basic_tokenize": true, "never_split": null, "unk_token": "<unk>", "sep_token": "<sep>", "pad_token": "<pad>", "cls_token": "<cls>", "mask_token": "<mask>", "tokenize_chinese_chars": true, "strip_accents": false, "bos_token": "<s>", "eos_token": "</s>", "model_max_length": 512, "special_tokens_map_file": null, "tokenizer_file": null}
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