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")# pip install -U transformers accelerate # 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 checkpoint-32095/rng_state.pth from ulyanaisaeva/udmurt-bert-base-uncased: direct link, hf CLI and curl.
- Browser
- Download file 14.5 kB
-
https://huggingface.co/ulyanaisaeva/udmurt-bert-base-uncased/resolve/main/checkpoint-32095/rng_state.pth
- Command line
-
hf download hf://ulyanaisaeva/udmurt-bert-base-uncased/checkpoint-32095/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/ulyanaisaeva/udmurt-bert-base-uncased/resolve/main/checkpoint-32095/rng_state.pth
14.5 kB
- Xet hash:
- b13a23c1abbc474408d9a3b489da7ca1b1e156ddb25054267cd1a48579246fc7
- Size of remote file:
- 14.5 kB
- SHA256:
- 9fdcc33a7aaa71308c29d1b50659ebc6a78284fa1a8c59733ef3edc8276bedb0
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