Instructions to use NbAiLab/roberta_des_ada_128_6e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/roberta_des_ada_128_6e4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLab/roberta_des_ada_128_6e4")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NbAiLab/roberta_des_ada_128_6e4") model = AutoModelForMaskedLM.from_pretrained("NbAiLab/roberta_des_ada_128_6e4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e9b3a31cc4e03310a86ab60b611cd6361ca701041a9da444add53cd41f189b7
- Size of remote file:
- 499 MB
- SHA256:
- 7cdf5da2a3aae0b2ad6669aebb07d2b02b88c0103039ec07d2220717a4667368
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