Instructions to use Centic-AI/sentiment_analysis_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Centic-AI/sentiment_analysis_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Centic-AI/sentiment_analysis_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Centic-AI/sentiment_analysis_model") model = AutoModelForSequenceClassification.from_pretrained("Centic-AI/sentiment_analysis_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Centic-AI/sentiment_analysis_model: direct link, hf CLI and curl.
- Browser
- Download file 88 Bytes
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https://huggingface.co/Centic-AI/sentiment_analysis_model/resolve/main/README.md
- Command line
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hf download hf://Centic-AI/sentiment_analysis_model/README.md
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curl -L -o README.md https://huggingface.co/Centic-AI/sentiment_analysis_model/resolve/main/README.md
88 Bytes
metadata
license: apache-2.0
pipeline_tag: text-classification
library_name: transformers