Fill-Mask
Transformers
Safetensors
Italian
modernbert
text-classification
masked-lm
long-context
italian
Instructions to use DeepMount00/Italian-ModernBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepMount00/Italian-ModernBERT-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DeepMount00/Italian-ModernBERT-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DeepMount00/Italian-ModernBERT-base") model = AutoModelForSequenceClassification.from_pretrained("DeepMount00/Italian-ModernBERT-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d2ef522b77eb2857d89dd26c37120117b555763a50e616911d9f196de906551
- Size of remote file:
- 542 MB
- SHA256:
- c916baaa24fe09b89aac27eca8ef861948934d16ec6833828c52f84faa00a245
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