Instructions to use kimsan0622/roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kimsan0622/roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="kimsan0622/roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kimsan0622/roberta-large") model = AutoModel.from_pretrained("kimsan0622/roberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
623aed8
1
Parent(s): 4fe9e2f
Upload tokenizer
Browse files- tokenizer_config.json +2 -3
tokenizer_config.json
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"rstrip": false,
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"single_word": false
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},
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"model_max_length":
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"name_or_path": "out_roberta_base/ckpt_hf",
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"pad_token": {
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"__type": "AddedToken",
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"content": "<pad>",
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"rstrip": false,
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"single_word": false
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},
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"special_tokens_map_file": "
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"tokenizer_class": "RobertaTokenizer",
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"trim_offsets": true,
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"unk_token": {
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"rstrip": false,
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"single_word": false
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},
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": {
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"__type": "AddedToken",
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"content": "<pad>",
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"rstrip": false,
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"single_word": false
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},
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"special_tokens_map_file": "out_roberta_large/ckpt_hf/special_tokens_map.json",
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"tokenizer_class": "RobertaTokenizer",
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"trim_offsets": true,
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"unk_token": {
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