Instructions to use omarmomen/structroberta_sx_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omarmomen/structroberta_sx_final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="omarmomen/structroberta_sx_final", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("omarmomen/structroberta_sx_final", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("omarmomen/structroberta_sx_final", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6cca59d3ff45f3e4e9822df5f67e38e7ab09a08d4a314a821aeb7e20b8cde15
- Size of remote file:
- 577 MB
- SHA256:
- 4921dd048aa10b7a62e6987fa617e890d59efdc7b0745bdef30f36d52d58ba67
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