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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79d5d718d909737299e22f13c28ad4bf35b270a05a2599d941fc7ba0c2f8fd94
- Size of remote file:
- 577 MB
- SHA256:
- 818c667dfd50dc5dd559e30d4f79a648b8e2334ccdcc2fc2cffbea6b50a10ff4
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