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
File size: 224 Bytes
a4a3924 | 1 2 3 4 5 6 7 | from transformers import XLMRobertaForMaskedLM, XLMRobertaConfig
config = XLMRobertaConfig.from_pretrained("./")
model = XLMRobertaForMaskedLM.from_pretrained("./",config=config,from_flax=True)
model.save_pretrained("./")
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