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 training_args.bin from dhimskyy/wiki-bert: direct link, hf CLI and curl.
- Browser
- Download file 1.52 kB
-
https://huggingface.co/dhimskyy/wiki-bert/resolve/main/training_args.bin
- Command line
-
hf download hf://dhimskyy/wiki-bert/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dhimskyy/wiki-bert/resolve/main/training_args.bin
1.52 kB
- Xet hash:
- 3acb8d287e3788f4b22686d9a2dd2ef138a2a19e4ecb4b85036f78592b50d187
- Size of remote file:
- 1.52 kB
- SHA256:
- ec9d96a302e3f84b0021f796163798cdd1b6e08a5c054f2993f5f97616fe0841
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