Instructions to use pere/roberta-debug-8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pere/roberta-debug-8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pere/roberta-debug-8")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pere/roberta-debug-8") model = AutoModelForMaskedLM.from_pretrained("pere/roberta-debug-8") - Notebooks
- Google Colab
- Kaggle
| from transformers import XLMRobertaForMaskedLM, XLMRobertaConfig | |
| config = XLMRobertaConfig.from_pretrained("./") | |
| model = XLMRobertaForMaskedLM.from_pretrained("./",config=config,from_flax=True) | |
| model.save_pretrained("./") | |