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")# pip install -U transformers accelerate # 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
Download tokenizer.json from aiknowyou/it-emotion-analyzer: direct link, hf CLI and curl.
- Browser
- Download file 732 kB
-
https://huggingface.co/aiknowyou/it-emotion-analyzer/resolve/main/tokenizer.json
- Command line
-
hf download hf://aiknowyou/it-emotion-analyzer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/aiknowyou/it-emotion-analyzer/resolve/main/tokenizer.json
732 kB
- Xet hash:
- e595bb8ad5fd7a6b040314610226ad36de0203e80e1113343fa7efcfb7164f3e
- Size of remote file:
- 732 kB
- SHA256:
- 9636fb9bc633aadca4fae894a6a5fb650aae83ccf285687bd116abdd14027c92
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