Instructions to use NbAiLab/roberta_des_ada_128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/roberta_des_ada_128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLab/roberta_des_ada_128")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NbAiLab/roberta_des_ada_128") model = AutoModelForMaskedLM.from_pretrained("NbAiLab/roberta_des_ada_128") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d9985081384b6ea2d96a08c0c09bfc7a31016b4b9f02794c804241b68f62fb2
- Size of remote file:
- 499 MB
- SHA256:
- 9982cfb46cef647d24deb7479ed842a05ca798dc9927631a0b630d14b1212ea4
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