Instructions to use aiknowyou/it-emotion-analyzer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aiknowyou/it-emotion-analyzer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aiknowyou/it-emotion-analyzer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aiknowyou/it-emotion-analyzer") model = AutoModelForSequenceClassification.from_pretrained("aiknowyou/it-emotion-analyzer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1907c1dc0d52dd2632292206dd0549af3239833899ea92d30988cf8e0b7a4957
- Size of remote file:
- 440 MB
- SHA256:
- 11107757ddf77447fb840b7b704c260d74d226ed6b1c3a6d2fc23c9621cb7603
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