Instructions to use Andrija/SRoBERTa-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andrija/SRoBERTa-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Andrija/SRoBERTa-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Andrija/SRoBERTa-base") model = AutoModelForMaskedLM.from_pretrained("Andrija/SRoBERTa-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfa6795204dd3e223e37f15a5ea59149b923609baa0a4f529063baa32cc1e285
- Size of remote file:
- 322 MB
- SHA256:
- 8bbd42e48c0babc2b22c0afa0b7ba07133ec1d691751f801410cc4b15f26297f
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