Instructions to use TakalaWang/bert-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TakalaWang/bert-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TakalaWang/bert-finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TakalaWang/bert-finetuned") model = AutoModelForSequenceClassification.from_pretrained("TakalaWang/bert-finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b64b92fe05d9ed61e615fb911086dbb81b125cb807077ad8cd0c4c420f42bcce
- Size of remote file:
- 5.3 kB
- SHA256:
- 2fac0bff779f3ec7284584fe51aeaa3d532c309356b826de20687bf2f1983f8b
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