Instructions to use frett/chinese_extract_bert-x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use frett/chinese_extract_bert-x with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="frett/chinese_extract_bert-x")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("frett/chinese_extract_bert-x") model = AutoModelForQuestionAnswering.from_pretrained("frett/chinese_extract_bert-x") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc446177c8315d939ed98086fa8c2960771cbe3349a1aef71f5bcc6ccc4eb2b6
- Size of remote file:
- 407 MB
- SHA256:
- 8983de825ab796febf75a6bbe13b585713dbb6eff6f8455fb1549c4ca0428871
路
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