Instructions to use Jacobo/aristoBERTo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jacobo/aristoBERTo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Jacobo/aristoBERTo")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Jacobo/aristoBERTo") model = AutoModelForMaskedLM.from_pretrained("Jacobo/aristoBERTo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- edf0bb8e23572e6be482e3026fbb9cdf478e93d40aef41c8c29ae8e834111e86
- Size of remote file:
- 452 MB
- SHA256:
- eae6b4506f643cf06b746b229983045ebe08ff7ba45fe3ce0d657914140c2d04
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