Instructions to use huaxr/bert-with-classfication-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huaxr/bert-with-classfication-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="huaxr/bert-with-classfication-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("huaxr/bert-with-classfication-model") model = AutoModelForSequenceClassification.from_pretrained("huaxr/bert-with-classfication-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de4048b5f78b8b2802974d09b3ef056fa5689656881c49f66a35eaa578727b0c
- Size of remote file:
- 438 MB
- SHA256:
- a2f61faac8d40abb47dfb7211303672445534db7efaba67f75ec68fa37df23ee
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