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
File size: 134 Bytes
6ab5f03 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e4748ff371d77f66adaada68d15cb69e105f579bd6b5992e887211e141e10e72
size 539898688
|