Instructions to use mktr/SODA-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mktr/SODA-BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mktr/SODA-BERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mktr/SODA-BERT") model = AutoModelForSequenceClassification.from_pretrained("mktr/SODA-BERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11ee13f060b78d5c1da557430d7f503c32db30c402b5e16d1d3157a574bfcfd3
- Size of remote file:
- 651 MB
- SHA256:
- 528c1574ddcc375bdf49a21a17ba910101c99ec64bba85f6ffdb5716aa9ce881
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