Instructions to use qingtan007/bert_finetuning_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qingtan007/bert_finetuning_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="qingtan007/bert_finetuning_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("qingtan007/bert_finetuning_test") model = AutoModelForSequenceClassification.from_pretrained("qingtan007/bert_finetuning_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f9cd7737256df14e3bc3a44d3292ad46db1a9c0ea44c19eac700161fb70ad78
- Size of remote file:
- 1.21 kB
- SHA256:
- 0ee926b92868643ef419bed484aa48b614d500f7ffa51a8ba4f7a69c15c298b1
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