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:
- 242584967672c6fcf469c84fda5335cf78b35f0fdd9a47ed1d1a25c85e603086
- Size of remote file:
- 577 MB
- SHA256:
- 16292cfcec36b9e1eff9d6a286a39946a32a2df5fbc2a2a5e0e28f07cf7e4137
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