Instructions to use mrm8488/RoBERTinha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/RoBERTinha with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mrm8488/RoBERTinha")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/RoBERTinha") model = AutoModelForMaskedLM.from_pretrained("mrm8488/RoBERTinha") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ee5fa120becf3ca5f548990c48a509f0ffff08c3874b1fbd72d69d853e5a5b3
- Size of remote file:
- 334 MB
- SHA256:
- 07658d51398ea1cf33b6ccf877e2f06a30333ff11d7ff46d93bdf6bfc2de155d
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