Instructions to use omarmomen/structroberta_s1_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omarmomen/structroberta_s1_final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="omarmomen/structroberta_s1_final", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("omarmomen/structroberta_s1_final", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("omarmomen/structroberta_s1_final", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cede312a43c058aaa99fb79246fe31a6d850b0ad1789eeb9f38a363c1c25c28f
- Size of remote file:
- 535 MB
- SHA256:
- 5684f5b999d09435859dab57ba641e93f55a51af345cca0d59d2f1d1004595db
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