Text Classification
Transformers
PyTorch
TensorFlow
Italian
camembert
sentiment
emotion
Italian
text-embeddings-inference
Instructions to use MilaNLProc/feel-it-italian-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MilaNLProc/feel-it-italian-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MilaNLProc/feel-it-italian-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MilaNLProc/feel-it-italian-emotion") model = AutoModelForSequenceClassification.from_pretrained("MilaNLProc/feel-it-italian-emotion") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 230992ad85e161f50c077bbb187b623c6da9f60e678e3ef7fb763779b8ac4381
- Size of remote file:
- 443 MB
- SHA256:
- d1da13a53362bc5eebde59431fa0c8dbd5b5000d1b59f30954766fde16afae72
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