Instructions to use CNR-ILC/gs-GreBerta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CNR-ILC/gs-GreBerta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="CNR-ILC/gs-GreBerta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("CNR-ILC/gs-GreBerta") model = AutoModelForMaskedLM.from_pretrained("CNR-ILC/gs-GreBerta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
29 days ago
-
End of training
Verified signature7cb49c8
-
End of training
Verified signaturedb6ecc8
-
End of training
Verified signature8c51feb
-
ILC-CNR/gs-greBERTa
Verified signature3c9a6a4
-
ILC-CNR/gs-aristoBERTo
Verified signature45b35d2 -
ILC-CNR/gs-greBERTa
Verified signature9344f28 -
ILC-CNR/gs-aristoBERTo
Verified signature0acb3b7 -
ILC-CNR/gs-greBERTa
Verified signature4aa9319 -
ILC-CNR/gs-aristoBERTo
Verified signaturede071fa