Instructions to use mpapucci/bert-age-classification-tag-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mpapucci/bert-age-classification-tag-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mpapucci/bert-age-classification-tag-it")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mpapucci/bert-age-classification-tag-it") model = AutoModelForSequenceClassification.from_pretrained("mpapucci/bert-age-classification-tag-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45cef5d98bffac9128568d9a9a5d2a08fa49255a159e09bccccc97b89356100d
- Size of remote file:
- 440 MB
- SHA256:
- 4a3c4259f2cf29aeafe45ebe24a8dd281531748158e020a883674cf1393d5b1e
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