Instructions to use mrm8488/RoBasquERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/RoBasquERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mrm8488/RoBasquERTa")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/RoBasquERTa") model = AutoModelForMaskedLM.from_pretrained("mrm8488/RoBasquERTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d7215bfe342686874eba0218a464cbe51bacb4157634401f25282bdae9374ca
- Size of remote file:
- 1.05 kB
- SHA256:
- bbbc1a084623ed227c7ba0e571ce2a27af5eca7eb54decb3ee3feb080c4fca8a
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