Instructions to use Maxscha/bert-test-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maxscha/bert-test-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Maxscha/bert-test-base", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Maxscha/bert-test-base", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("Maxscha/bert-test-base", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7879ef0f3337588c36516940368d2bfadb1ff636c1103fd57a44c4ba4edc8011
- Size of remote file:
- 554 MB
- SHA256:
- 1e8eb2928bf708bfda5a3e0ad05e4f3686043b0651662d00c1582f8572b6be39
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