Instructions to use korca/meaning-match-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use korca/meaning-match-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="korca/meaning-match-bert-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("korca/meaning-match-bert-base") model = AutoModel.from_pretrained("korca/meaning-match-bert-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd5199012b83dbbfc24e48d31ca3ea6e9d524a71ca5dd38b1c468785c363de71
- Size of remote file:
- 433 MB
- SHA256:
- 543718b7506a1a81869552076f512d68e927ca4000b1345fe63816510914eea2
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