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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 796b23059c33e1c6d3ef42c6f93865d3a2252a93f4c4019453c5be4d8c079582
- Size of remote file:
- 1.05 kB
- SHA256:
- 73d3cc37c232cdfdb1529252f538a415b57fc9d8ee59039b2d0ed0734b9305ae
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