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:
- 463ab80f5704dffb85e8dab7f96b81689a8e68d01c8e10fa790bf4f5755b4962
- Size of remote file:
- 535 MB
- SHA256:
- 73a2501162b7b2c6fc76136c2a6e564cb48e7d19a85d72541c0bb8996fb325de
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