Instructions to use Andrija/SRoBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andrija/SRoBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Andrija/SRoBERTa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Andrija/SRoBERTa") model = AutoModelForMaskedLM.from_pretrained("Andrija/SRoBERTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Andrija/SRoBERTa: direct link, hf CLI and curl.
- Browser
- Download file 1.78 kB
-
https://huggingface.co/Andrija/SRoBERTa/resolve/main/training_args.bin
- Command line
-
hf download hf://Andrija/SRoBERTa/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/Andrija/SRoBERTa/resolve/main/training_args.bin
1.78 kB
- Xet hash:
- 31f07a41ce922348bc6e041ed0c7d452cb9fdb22aa238c2d48a77f76abf859ae
- Size of remote file:
- 1.78 kB
- SHA256:
- 71367e5afabecf4d5bd74a4656cae6608c712860509d15976441da4b74f41a85
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