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
| # This script overwrites any existing PyTorch model. Generates a new one with an LM head from the pretrained Flax model. | |
| from transformers import RobertaForMaskedLM | |
| model = RobertaForMaskedLM.from_pretrained(".",from_flax=True) | |
| model.save_pretrained(".") | |