Instructions to use korca/bert-base-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use korca/bert-base-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="korca/bert-base-mnli")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("korca/bert-base-mnli") model = AutoModel.from_pretrained("korca/bert-base-mnli") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d4a302857964c5a2c322c272d7f5b2a724ac8515f3b423452d504df2e5fa58d
- Size of remote file:
- 433 MB
- SHA256:
- 2213bf92b96ca5517b341766d0c30af4bc1e5b2fbf49c46d196cac88aa75711b
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