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 pytorch_model.bin from ulyanaisaeva/udmurt-bert-base-uncased: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/ulyanaisaeva/udmurt-bert-base-uncased/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ulyanaisaeva/udmurt-bert-base-uncased/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ulyanaisaeva/udmurt-bert-base-uncased/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- 235ddc0487ad3a005bc37e0a6cea2af2fa2dc254584ea926475b9a810e80090d
- Size of remote file:
- 443 MB
- SHA256:
- cd771f458e46629f7fec5a86b90f3cfffb7e9b86f545ceeb7ce7499afb73ebe1
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