Instructions to use laugustyniak/roberta-polish-web-embedding-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use laugustyniak/roberta-polish-web-embedding-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="laugustyniak/roberta-polish-web-embedding-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("laugustyniak/roberta-polish-web-embedding-v1") model = AutoModelForMaskedLM.from_pretrained("laugustyniak/roberta-polish-web-embedding-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from laugustyniak/roberta-polish-web-embedding-v1: direct link, hf CLI and curl.
- Browser
- Download file 1.52 kB
-
https://huggingface.co/laugustyniak/roberta-polish-web-embedding-v1/resolve/main/training_args.bin
- Command line
-
hf download hf://laugustyniak/roberta-polish-web-embedding-v1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/laugustyniak/roberta-polish-web-embedding-v1/resolve/main/training_args.bin
1.52 kB
- Xet hash:
- 474e157ed694c488827296135d0a2a79805d9344c03c102705fa3ae21c54ede4
- Size of remote file:
- 1.52 kB
- SHA256:
- 04ce4984324299b20c5755ba9c3c827923d3bbbf549215e5c99a6b340b6c7fd2
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