Instructions to use RonTon05/BERT-HSD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RonTon05/BERT-HSD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RonTon05/BERT-HSD")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RonTon05/BERT-HSD") model = AutoModelForSequenceClassification.from_pretrained("RonTon05/BERT-HSD") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c072daf8f4305aafff626e5d56d808285b7f3f97fdf04c0570257dec1df5cce
- Size of remote file:
- 4.86 kB
- SHA256:
- 48709e4966092cdb245f307cb0462bc6eefce2b9511ac6c6e3a15a5fd46daab0
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