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:
- b66d6f485fe05e77b845fbf7235de5a898d9f0c80fbde31927593daa6f6b6895
- Size of remote file:
- 2.16 kB
- SHA256:
- 30c56f396c23bf380350358803e74457d212e3f4b9a40a97a32f3e4378153402
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