Instructions to use Connor-tech/bert_cn_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Connor-tech/bert_cn_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Connor-tech/bert_cn_finetuning")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Connor-tech/bert_cn_finetuning") model = AutoModelForSequenceClassification.from_pretrained("Connor-tech/bert_cn_finetuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6006a0de54c3277ddf06f53c45a8e2058a1d8a9ea67726c5d1346db532bb8056
- Size of remote file:
- 409 MB
- SHA256:
- 15ee65b261abd5bced5a3357149b83b505ba6dcbbcdb7bec2ec3f1cfbaf906e5
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