Instructions to use mpapucci/BertForItaCaseholdClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mpapucci/BertForItaCaseholdClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mpapucci/BertForItaCaseholdClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mpapucci/BertForItaCaseholdClassification") model = AutoModelForSequenceClassification.from_pretrained("mpapucci/BertForItaCaseholdClassification") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
02f5e4a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0cd363b95e36ca9ac4d3f41a0ac11e58dc9f164c6f93875e92df472e47813a67
size 439758864
|