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:
- af3505f1b10fa512566303f945874d3b6db0b770a62447dad25e850f8fc1841f
- Size of remote file:
- 438 MB
- SHA256:
- 136647a32808ea7e14db7f9b2eb9e75fadfd0a9ba929c4d11eeb4c7320f0d384
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