Instructions to use omarmomen/structroberta_sx2_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omarmomen/structroberta_sx2_final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="omarmomen/structroberta_sx2_final", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("omarmomen/structroberta_sx2_final", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("omarmomen/structroberta_sx2_final", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3bde1270329cd3edfb6031291303a7f7437d0e573c8dce8a5a99f88895768db2
- Size of remote file:
- 623 Bytes
- SHA256:
- 640fdcb6a0c5ddd9d38e1215fcd6ee0ff7c50046cc3e698d91259fd365632e34
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