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/scheduler.pt from ulyanaisaeva/udmurt-bert-base-uncased: direct link, hf CLI and curl.
- Browser
- Download file 623 Bytes
-
https://huggingface.co/ulyanaisaeva/udmurt-bert-base-uncased/resolve/main/checkpoint-32095/scheduler.pt
- Command line
-
hf download hf://ulyanaisaeva/udmurt-bert-base-uncased/checkpoint-32095/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/ulyanaisaeva/udmurt-bert-base-uncased/resolve/main/checkpoint-32095/scheduler.pt
623 Bytes
- Xet hash:
- 3f0a511ccb1d2a6d900591da54bab8728297460757afa539e9dbf8261db2a00a
- Size of remote file:
- 623 Bytes
- SHA256:
- fd5ebce471016eec2f5eba2e97fee128ad5ffece685a5a95de6042eaea5877ae
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