Instructions to use dhimskyy/wiki-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhimskyy/wiki-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dhimskyy/wiki-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dhimskyy/wiki-bert") model = AutoModelForMaskedLM.from_pretrained("dhimskyy/wiki-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from dhimskyy/wiki-bert: direct link, hf CLI and curl.
- Browser
- Download file 912 MB
-
https://huggingface.co/dhimskyy/wiki-bert/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://dhimskyy/wiki-bert/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/dhimskyy/wiki-bert/resolve/main/flax_model.msgpack
912 MB
- Xet hash:
- 6c51d0fefdc2f1dccd6d3ef46af18fe961c7f3c0173b5b1f334f52daf2ec829b
- Size of remote file:
- 912 MB
- SHA256:
- 441e91e7025c3c2c116933988ad3462b221d8783c84ddc34ddfbede3e641ccf4
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