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 pytorch_model.bin from dhimskyy/wiki-bert: direct link, hf CLI and curl.
- Browser
- Download file 915 MB
-
https://huggingface.co/dhimskyy/wiki-bert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://dhimskyy/wiki-bert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dhimskyy/wiki-bert/resolve/main/pytorch_model.bin
915 MB
- Xet hash:
- 17c8cbfb52bfadd9592998247698a749f46ad01f8c686c629122be6da5bfa5c7
- Size of remote file:
- 915 MB
- SHA256:
- f56d80999258164a158dd49c349c3d4152df68c66cc3fee4f1b3bf0cf47a211d
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