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:
- df9eb7a8e66ca1afed7a0bbb7d026f000671cde9ff6b4ff2946b06976ee00ce7
- Size of remote file:
- 3.58 kB
- SHA256:
- 365b16105e9b4b5ab07a23799aab51a9b9ad72d1420cd2767acd880de49923d5
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