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:
- cd34f8b45ab58c72b5d013909de9b48ef810018014f72cff90864c448909feae
- Size of remote file:
- 438 MB
- SHA256:
- efd32188995d0d38ab8fc6ef890c18874c49a6ed25051d40833635b2f4b69ed7
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