Instructions to use indigo-ai/BERTino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use indigo-ai/BERTino with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="indigo-ai/BERTino")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("indigo-ai/BERTino") model = AutoModelForMaskedLM.from_pretrained("indigo-ai/BERTino", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update tf_model.h5
Browse files- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:59a18b4b90cc1bc20b032fd324cb14cb7172ffec417235f629f10e9e8adef1bd
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size 272806272
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