Instructions to use bella/bert_finetuning_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bella/bert_finetuning_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bella/bert_finetuning_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bella/bert_finetuning_test") model = AutoModelForSequenceClassification.from_pretrained("bella/bert_finetuning_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e74c590a6b2985fcd297853b652cfbc10b84ae935c7f064d36730f00768a625
- Size of remote file:
- 438 MB
- SHA256:
- b837eec12bf1acaf85350617b5be295ae6d144d08aa742801838a54b8c87454d
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