Instructions to use omarmomen/structformer_s2_final_with_pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omarmomen/structformer_s2_final_with_pos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="omarmomen/structformer_s2_final_with_pos", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("omarmomen/structformer_s2_final_with_pos", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3448d18f3e7200020cc9eca0a900d6c0fb060d328f200950f7c70c60fdcc9501
- Size of remote file:
- 3.5 kB
- SHA256:
- 43a12e22de29db655f6b01f97412410d217bbb8033470a3aa6c01645794d0dbd
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