Instructions to use omarmomen/structroberta_s2_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omarmomen/structroberta_s2_final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="omarmomen/structroberta_s2_final", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("omarmomen/structroberta_s2_final", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("omarmomen/structroberta_s2_final", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16d3659c9c0f37cc0d8bd265617398d3013deb70402859df40bdd0a309768e76
- Size of remote file:
- 21.2 MB
- SHA256:
- 1d10cf0d2521a3b488d142fa7401106cb3aef8350c6bec581021115fb7a4b299
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