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:
- 641f313a6fd57e89a293ec7a067c55b487ffde63ef31b4ba2e8762dadb56c5bf
- Size of remote file:
- 14.5 kB
- SHA256:
- 9db00ba31b8d7a16414ced2deb2be358c255d307d0e3a983d76bb743ffb6d5a0
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