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:
- 10b8ad427516c929015d1eb6136a5fed0cf7e47aa73560f248c678956b3a152b
- Size of remote file:
- 438 MB
- SHA256:
- 7069b4dfaea0ed129251712139df25a4a8b57e263e1bf1cc793e54d3b30091f2
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