Instructions to use APJ23/MultiHeaded_Sentiment_Analysis_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use APJ23/MultiHeaded_Sentiment_Analysis_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="APJ23/MultiHeaded_Sentiment_Analysis_Model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("APJ23/MultiHeaded_Sentiment_Analysis_Model") model = AutoModelForSequenceClassification.from_pretrained("APJ23/MultiHeaded_Sentiment_Analysis_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: afl-3.0 | |
| pipeline_tag: text-classification | |
| tags: | |
| - code | |