Instructions to use RonTon05/HSD-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RonTon05/HSD-BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RonTon05/HSD-BERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RonTon05/HSD-BERT") model = AutoModelForSequenceClassification.from_pretrained("RonTon05/HSD-BERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a999b6e6cc72d8f94acef8cdd2b7bec590270b2ef069f885b787f2eae25559d
- Size of remote file:
- 4.92 kB
- SHA256:
- c443aee6b5613c84759ea563f35aba027784cbaed9df1f6eb12a5477f96e8140
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