Instructions to use Den4ikAI/rubert-tiny-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Den4ikAI/rubert-tiny-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Den4ikAI/rubert-tiny-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("Den4ikAI/rubert-tiny-squad") model = AutoModelForPreTraining.from_pretrained("Den4ikAI/rubert-tiny-squad") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer_config.json
Browse files- tokenizer_config.json +1 -0
tokenizer_config.json
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{"do_lower_case": false, "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": null, "model_max_length": 2048, "special_tokens_map_file": null, "name_or_path": "/gd/MyDrive/models/rubert-tiny-mlm-nli-sentence", "tokenizer_class": "BertTokenizer", "init_inputs": []}
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