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:
- 9bb3be0dc03472cf7498cab9beee779fb93177ee25a4eab86257bbf24a9f5678
- Size of remote file:
- 409 MB
- SHA256:
- 63211778445a6c24ed4803137001f6461b5f56979860d5225ab9d4e242441f80
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