Instructions to use Agra2002/sentiment_analysis_LLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Agra2002/sentiment_analysis_LLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Agra2002/sentiment_analysis_LLM")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Agra2002/sentiment_analysis_LLM") model = AutoModelForSequenceClassification.from_pretrained("Agra2002/sentiment_analysis_LLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
ab7efea | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0faa92bd7ed077549742faac2919a8b42ffcfcc5b5defc66435cdacb4c7b56ef
size 2799
|