Instructions to use KoichiYasuoka/roberta-base-serbian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoichiYasuoka/roberta-base-serbian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KoichiYasuoka/roberta-base-serbian")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-base-serbian") model = AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/roberta-base-serbian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from KoichiYasuoka/roberta-base-serbian: direct link, hf CLI and curl.
- Browser
- Download file 389 MB
-
https://huggingface.co/KoichiYasuoka/roberta-base-serbian/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://KoichiYasuoka/roberta-base-serbian/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/KoichiYasuoka/roberta-base-serbian/resolve/main/pytorch_model.bin
389 MB
- Xet hash:
- 5c067ec52b1fba3cec0da57630adfea26dcd47061601c1465ca990c7947569a2
- Size of remote file:
- 389 MB
- SHA256:
- 512d094a9c1b421e8084dc9a4ac11b78513599ba30430ac8ee4e0571b836d66f
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