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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c27f9c1407566ba79a1a9a61301e55521ec923b180fae5f71be9f05470ce6a2
- Size of remote file:
- 3.5 kB
- SHA256:
- 128e91bffdd598936da2898db2dc2db7ca6544c79e3386e8bcff3cf059dfe0cd
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