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:
- c89e7debd9b45c3d50d3bd179200f3d86ab68cee7788233ef6f5aa75cb7901bb
- Size of remote file:
- 535 MB
- SHA256:
- 06d6e1e76fa23460ed8c4e2dd1b0e222b7e4d8626deb0e0f45b88d565a9b704a
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