Instructions to use neuraly/bert-base-italian-cased-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neuraly/bert-base-italian-cased-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="neuraly/bert-base-italian-cased-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("neuraly/bert-base-italian-cased-sentiment") model = AutoModelForSequenceClassification.from_pretrained("neuraly/bert-base-italian-cased-sentiment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e00a62d22935f349bec22cbf0a11c5bad105b5194ead8f5657cf50f59c941d9
- Size of remote file:
- 443 MB
- SHA256:
- fa04bba1f7c41b5a94b2fd9577249fe86a09eb167fa7f6f06db30bdab2669100
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