Instructions to use osiria/bert-base-italian-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use osiria/bert-base-italian-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="osiria/bert-base-italian-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("osiria/bert-base-italian-uncased") model = AutoModelForMaskedLM.from_pretrained("osiria/bert-base-italian-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63ec71d2b0e508c935427217ff7d7dc9780c21aabc1a190baf05ddb46484fa13
- Size of remote file:
- 437 MB
- SHA256:
- bfec3e46a1918ea2c8c2b7a1bf221ac051e69bcb3e0e3eba994c402601463563
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