Instructions to use feelwoo/bert-base-banking77-pt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use feelwoo/bert-base-banking77-pt2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="feelwoo/bert-base-banking77-pt2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("feelwoo/bert-base-banking77-pt2") model = AutoModelForSequenceClassification.from_pretrained("feelwoo/bert-base-banking77-pt2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff5c64556ef844676b9b7d0927ea3c49b95f028199090e2e4861dfed852765c5
- Size of remote file:
- 4.73 kB
- SHA256:
- 43246423e680e6a096ff5215c5f759aa9467d61532768bb3261f1db4915b98a9
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