Instructions to use hcy60662/banking-using-mybert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hcy60662/banking-using-mybert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hcy60662/banking-using-mybert")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("hcy60662/banking-using-mybert", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d30a86110862edfae4ef87df1f9ba63681fdb48d98cbc2bddefd8767703090d9
- Size of remote file:
- 5.37 kB
- SHA256:
- 496808e7ba139244f4a141e4d9368a1ebbe168399e90e24594b2a74c371a2a7a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.