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:
- 2eb8f01d40d0dc890e80a232870bae418814c583e03895ae2aff4edc4e8f0f5a
- Size of remote file:
- 535 MB
- SHA256:
- 356e19a6575b51f9b1ad7a9e660ab220c41a6e63e2d47dda4697927638758b5a
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