Instructions to use dyyyyyyyy/XTREME_squad_XLM-RoBERTa-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dyyyyyyyy/XTREME_squad_XLM-RoBERTa-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dyyyyyyyy/XTREME_squad_XLM-RoBERTa-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dyyyyyyyy/XTREME_squad_XLM-RoBERTa-base") model = AutoModelForMaskedLM.from_pretrained("dyyyyyyyy/XTREME_squad_XLM-RoBERTa-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dyyyyyyyy/XTREME_squad_XLM-RoBERTa-base: direct link, hf CLI and curl.
- Browser
- Download file 1.9 kB
-
https://huggingface.co/dyyyyyyyy/XTREME_squad_XLM-RoBERTa-base/resolve/ab4117b33755f51f5b18912065ee146af4b1d0cb/training_args.bin
- Command line
-
hf download hf://dyyyyyyyy/XTREME_squad_XLM-RoBERTa-base@ab4117b33755f51f5b18912065ee146af4b1d0cb/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/dyyyyyyyy/XTREME_squad_XLM-RoBERTa-base/resolve/ab4117b33755f51f5b18912065ee146af4b1d0cb/training_args.bin
1.9 kB
- Xet hash:
- 2edf8fff4b43f8570dbdad97715ca25f0c204316e0e97e43facfffc9d4c760e5
- Size of remote file:
- 1.9 kB
- SHA256:
- c8101307570eb511086c271646cb92df7a2f96437936dceddf1e2b3e16d88475
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