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:
- daf4c74909e00c394bb86c464dc3fee71f0bcac84551c6bc7f06920816e2ef9c
- Size of remote file:
- 336 MB
- SHA256:
- e8eea45fefa5c48e05048f8674372e218a8190ad1175b89bf9afb9f84dd13050
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