Instructions to use DeepMount00/ModernBERT-base-ita with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepMount00/ModernBERT-base-ita with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DeepMount00/ModernBERT-base-ita")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DeepMount00/ModernBERT-base-ita") model = AutoModelForMaskedLM.from_pretrained("DeepMount00/ModernBERT-base-ita", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -76,7 +76,7 @@ masked_index = inputs["input_ids"][0].tolist().index(tokenizer.mask_token_id)
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predicted_token_id = outputs.logits[0, masked_index].argmax(axis=-1)
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predicted_token = tokenizer.decode(predicted_token_id)
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print("Predicted token:", predicted_token)
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# Predicted token:
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```
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Using a pipeline:
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predicted_token_id = outputs.logits[0, masked_index].argmax(axis=-1)
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predicted_token = tokenizer.decode(predicted_token_id)
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print("Predicted token:", predicted_token)
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# Predicted token: Roma
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```
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Using a pipeline:
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