Instructions to use Andrija/SRoBERTa-F with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andrija/SRoBERTa-F with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Andrija/SRoBERTa-F")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Andrija/SRoBERTa-F") model = AutoModelForMaskedLM.from_pretrained("Andrija/SRoBERTa-F") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab4685b0ac492e8d86ee3a89f2f62d983d22bedf014c9625e0230e24d6328924
- Size of remote file:
- 2.67 kB
- SHA256:
- 13c3725e249b22b197d8bb3cf55a9f2ef5615d6afb37d7a74f67f9c0acec3fe9
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