Instructions to use ulyanaisaeva/udmurt-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ulyanaisaeva/udmurt-bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ulyanaisaeva/udmurt-bert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ulyanaisaeva/udmurt-bert-base-uncased") model = AutoModelForMaskedLM.from_pretrained("ulyanaisaeva/udmurt-bert-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ulyanaisaeva/udmurt-bert-base-uncased: direct link, hf CLI and curl.
- Browser
- Download file 3.25 kB
-
https://huggingface.co/ulyanaisaeva/udmurt-bert-base-uncased/resolve/main/training_args.bin
- Command line
-
hf download hf://ulyanaisaeva/udmurt-bert-base-uncased/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ulyanaisaeva/udmurt-bert-base-uncased/resolve/main/training_args.bin
3.25 kB
- Xet hash:
- 3dde19f469cebc1e1f055be812847d7b243ef44ff7d8f6782f368824467336a4
- Size of remote file:
- 3.25 kB
- SHA256:
- fc6a6e3558851af45bb5a2bf276230e5bbacabfdee3309629484b8049458d984
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