Instructions to use q5530793/bert_finetuning_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use q5530793/bert_finetuning_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="q5530793/bert_finetuning_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("q5530793/bert_finetuning_test") model = AutoModelForSequenceClassification.from_pretrained("q5530793/bert_finetuning_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed239ad1bde64e0454b1c1f60bf34fa5c9f1c541f93bdccc9f3af3b297ef70c1
- Size of remote file:
- 438 MB
- SHA256:
- 7137fe3d88650bed5edc1188ffbd30433eea4acdbc4977d904d622fb6f184f76
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