Instructions to use NbAiLab/roberta_des_128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/roberta_des_128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLab/roberta_des_128")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NbAiLab/roberta_des_128") model = AutoModelForMaskedLM.from_pretrained("NbAiLab/roberta_des_128") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37563f025eed3d630c58d1155831bc300cf956024110543d84c498c33d7697dd
- Size of remote file:
- 499 MB
- SHA256:
- 2435dbaef25330734eaa8f362c37487b3ecebed78fe0da06ef8a66b4166fa726
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