Instructions to use qingtan007/bert_cn_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qingtan007/bert_cn_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="qingtan007/bert_cn_finetuning")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("qingtan007/bert_cn_finetuning") model = AutoModelForSequenceClassification.from_pretrained("qingtan007/bert_cn_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cae8a110e99c3b47f6473826895f0896edab36410ccae875bc481e1dc89c9e63
- Size of remote file:
- 1.21 kB
- SHA256:
- 01b8a86d26e192eef5323aee1f45fb04c6d4b8fe1005a5549d7d48dd4ac50b84
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