Instructions to use ninja/Sentiment_Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ninja/Sentiment_Analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ninja/Sentiment_Analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ninja/Sentiment_Analysis") model = AutoModelForSequenceClassification.from_pretrained("ninja/Sentiment_Analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ninja/Sentiment_Analysis: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
-
https://huggingface.co/ninja/Sentiment_Analysis/resolve/da5a52fea74e28fbacbbb83a003a658f3aeb4c5e/tokenizer.json
- Command line
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hf download hf://ninja/Sentiment_Analysis@da5a52fea74e28fbacbbb83a003a658f3aeb4c5e/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/ninja/Sentiment_Analysis/resolve/da5a52fea74e28fbacbbb83a003a658f3aeb4c5e/tokenizer.json
669 kB
File too large to display, you can check the raw version instead.