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:
- 9d2389e8182540f18e55ff2c8b63ab6e11b02d78f263ab9ae81829388dce94b4
- Size of remote file:
- 2.67 kB
- SHA256:
- dce96156d15499b0fb32b77907998b765364f4fce90c802709e96854a176b4e7
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