Instructions to use omarmomen/structroberta_s2_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omarmomen/structroberta_s2_final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="omarmomen/structroberta_s2_final", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("omarmomen/structroberta_s2_final", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("omarmomen/structroberta_s2_final", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c99f914c24f9a9938f4804c823c238237bbfc533b52a89280219d7c41e2fa93
- Size of remote file:
- 535 MB
- SHA256:
- 236e806fdc972ec48c7a288d41ed2082a545b9e758aadc68bb8191c5d9bb1f4e
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