Instructions to use gwlms/bert-base-token-dropping-dewiki-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gwlms/bert-base-token-dropping-dewiki-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="gwlms/bert-base-token-dropping-dewiki-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("gwlms/bert-base-token-dropping-dewiki-v1") model = AutoModelForMaskedLM.from_pretrained("gwlms/bert-base-token-dropping-dewiki-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ea80ca990ba9a359205756fc36a42482049e8336f27a36352e0883a83124119
- Size of remote file:
- 445 MB
- SHA256:
- 6feebe5ad20e445af4993515cb6977e189f696c935861dc53d43bb1bbfe8d878
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