Instructions to use Exqrch/bert-base-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Exqrch/bert-base-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Exqrch/bert-base-test")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Exqrch/bert-base-test") model = AutoModelForMaskedLM.from_pretrained("Exqrch/bert-base-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5373f03edd7192ae38be64f1b3784fea440ccf932aedaba1b7cb4968b9d87fec
- Size of remote file:
- 438 MB
- SHA256:
- 5c61ab09dd287b323f4647e08cb95a30c524590cc47fceb6855d395fbc777861
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