Instructions to use AlanRobotics/bert_q_a_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlanRobotics/bert_q_a_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AlanRobotics/bert_q_a_test")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AlanRobotics/bert_q_a_test") model = AutoModelForQuestionAnswering.from_pretrained("AlanRobotics/bert_q_a_test") - Notebooks
- Google Colab
- Kaggle
File size: 565 Bytes
0473d79 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"cls_token": "[CLS]",
"do_basic_tokenize": true,
"do_lower_case": false,
"mask_token": "[MASK]",
"name_or_path": "DeepPavlov/rubert-base-cased-sentence",
"never_split": null,
"pad_token": "[PAD]",
"sep_token": "[SEP]",
"special_tokens_map_file": "/root/.cache/huggingface/hub/models--DeepPavlov--rubert-base-cased-sentence/snapshots/78b5122d6365337dd4114281b0d08cd1edbb3bc8/special_tokens_map.json",
"strip_accents": null,
"tokenize_chinese_chars": true,
"tokenizer_class": "BertTokenizer",
"unk_token": "[UNK]",
"vocab_size": 20000
}
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