Instructions to use Dragongon/finetuned_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dragongon/finetuned_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Dragongon/finetuned_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Dragongon/finetuned_bert") model = AutoModelForSequenceClassification.from_pretrained("Dragongon/finetuned_bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6b28932dac4cd02ac2bc18e1e0b70061d35be1981457d1c95b04ec2cdc62d6e
- Size of remote file:
- 3.58 kB
- SHA256:
- 439a7ddce308ebbfb06c73ab0ed4a9a95b94963767ec7b55b963476eaae6bf81
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