Instructions to use DepositorOP/Finituned-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DepositorOP/Finituned-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DepositorOP/Finituned-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DepositorOP/Finituned-bert") model = AutoModelForSequenceClassification.from_pretrained("DepositorOP/Finituned-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e47d463e3e93f343c2177c2bbf03277c7f07c2c90ad4f3b7b793ef6a5bd80811
- Size of remote file:
- 3.38 kB
- SHA256:
- af50677b63eb5cb1365141b1d5647c820b67aed26c8f51b719bde066e9598e13
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