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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download ckpt-201000.index from gwlms/bert-base-token-dropping-dewiki-v1: direct link, hf CLI and curl.
- Browser
- Download file 10.7 kB
-
https://huggingface.co/gwlms/bert-base-token-dropping-dewiki-v1/resolve/main/ckpt-201000.index
- Command line
-
hf download hf://gwlms/bert-base-token-dropping-dewiki-v1/ckpt-201000.index
-
curl -L -o ckpt-201000.index https://huggingface.co/gwlms/bert-base-token-dropping-dewiki-v1/resolve/main/ckpt-201000.index
10.7 kB
- Xet hash:
- 5fe884f8fb1cad8bd807e96dcb591f4ebd3aa116e79a748a720b19ecbcdfe797
- Size of remote file:
- 10.7 kB
- SHA256:
- 6f19201a8b575299bbc368de9207973a3f0f11b42f9790dd88970e536f963e5a
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