Instructions to use Andrija/SRoBERTa-XL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andrija/SRoBERTa-XL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Andrija/SRoBERTa-XL")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Andrija/SRoBERTa-XL") model = AutoModelForMaskedLM.from_pretrained("Andrija/SRoBERTa-XL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Andrija/SRoBERTa-XL: direct link, hf CLI and curl.
- Browser
- Download file 2.67 kB
-
https://huggingface.co/Andrija/SRoBERTa-XL/resolve/main/training_args.bin
- Command line
-
hf download hf://Andrija/SRoBERTa-XL/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Andrija/SRoBERTa-XL/resolve/main/training_args.bin
2.67 kB
- Xet hash:
- ab4685b0ac492e8d86ee3a89f2f62d983d22bedf014c9625e0230e24d6328924
- Size of remote file:
- 2.67 kB
- SHA256:
- 13c3725e249b22b197d8bb3cf55a9f2ef5615d6afb37d7a74f67f9c0acec3fe9
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