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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| # Code used for copying tokenizer and config | |
| from transformers import XLMRobertaTokenizerFast, XLMRobertaConfig | |
| tokenizer = XLMRobertaTokenizerFast.from_pretrained("xlm-roberta-base") | |
| config = XLMRobertaConfig.from_pretrained("xlm-roberta-base") | |
| tokenizer.save_pretrained("./") | |
| config.save_pretrained("./") | |