Instructions to use m-polignano/bert_uncased_L-12_H-768_A-12_italian_alb3rt0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m-polignano/bert_uncased_L-12_H-768_A-12_italian_alb3rt0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="m-polignano/bert_uncased_L-12_H-768_A-12_italian_alb3rt0")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("m-polignano/bert_uncased_L-12_H-768_A-12_italian_alb3rt0") model = AutoModelForMaskedLM.from_pretrained("m-polignano/bert_uncased_L-12_H-768_A-12_italian_alb3rt0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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