Instructions to use waynedsouza/namematch_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use waynedsouza/namematch_classifier with Transformers:
# Load model directly from transformers import AutoTokenizer, WBertClassifier tokenizer = AutoTokenizer.from_pretrained("waynedsouza/namematch_classifier") model = WBertClassifier.from_pretrained("waynedsouza/namematch_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 777b5971a92ff076b0c20da653f0fb12402caafdaf9d0de8a2187330a6dc6458
- Size of remote file:
- 1.87 GB
- SHA256:
- 3f28ed65ee08acc967ebd019e6294427bf230ab7518dd544b9148b0e0ab2626a
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