Instructions to use baihaisheng/bert_finetuning_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baihaisheng/bert_finetuning_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="baihaisheng/bert_finetuning_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("baihaisheng/bert_finetuning_test") model = AutoModelForSequenceClassification.from_pretrained("baihaisheng/bert_finetuning_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62346507e3bbfb71cafdd99d6938f6ab61394814c772af7e2a006efababaf169
- Size of remote file:
- 438 MB
- SHA256:
- 9ca85daee826bb1def55990676cae8889d5248c90a709fa87185c18a542b3bca
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