Instructions to use sdadas/polish-roberta-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sdadas/polish-roberta-base-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sdadas/polish-roberta-base-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sdadas/polish-roberta-base-v1") model = AutoModelForMaskedLM.from_pretrained("sdadas/polish-roberta-base-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sdadas/polish-roberta-base-v1: direct link, hf CLI and curl.
- Browser
- Download file 498 MB
-
https://huggingface.co/sdadas/polish-roberta-base-v1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sdadas/polish-roberta-base-v1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sdadas/polish-roberta-base-v1/resolve/main/pytorch_model.bin
498 MB
- Xet hash:
- 4b814ed1e76677a452ad9d92c825093be1ef0014669ebfa8c6ad5fb521272a9a
- Size of remote file:
- 498 MB
- SHA256:
- ae7f3140910a82d9eed074505a9a10180633e2c1b889098af27fd48585aa0674
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