Instructions to use tner/bertweet-base-tweetner7-2021 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/bertweet-base-tweetner7-2021 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/bertweet-base-tweetner7-2021")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/bertweet-base-tweetner7-2021") model = AutoModelForTokenClassification.from_pretrained("tner/bertweet-base-tweetner7-2021") - Notebooks
- Google Colab
- Kaggle
add tokenizer
Browse files- added_tokens.json +1 -0
- bpe.codes +0 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- vocab.txt +0 -0
added_tokens.json
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{"<mask>": 64000}
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bpe.codes
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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": "<mask>"}
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tokenizer_config.json
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{"normalization": false, "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": "<mask>", "model_max_length": 128, "name_or_path": "cner_output/model/baseline_2021/bertweet_base/best_model", "special_tokens_map_file": "cner_output/model/baseline_2021/bertweet_base/best_model/special_tokens_map.json", "tokenizer_class": "BertweetTokenizer"}
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vocab.txt
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