Instructions to use pere/robertabasescandi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pere/robertabasescandi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pere/robertabasescandi")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pere/robertabasescandi") model = AutoModelForMaskedLM.from_pretrained("pere/robertabasescandi") - Notebooks
- Google Colab
- Kaggle
Saving weights and logs of step 51
Browse files
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