Instructions to use mascIT/bert-tiny-ita with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mascIT/bert-tiny-ita with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mascIT/bert-tiny-ita")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mascIT/bert-tiny-ita") model = AutoModelForMaskedLM.from_pretrained("mascIT/bert-tiny-ita") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2e4404590dae308ec7e7baa2f5567f7cae3931ff16f8dc54877dfdd236275886
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size 12242336
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