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") - Notebooks
- Google Colab
- Kaggle
Commit History
Delete training_args (1).bin 779c27e
Delete trainer_state (1).json f6184f0
Delete scheduler (1).pt d6252b8
Delete rng_state (1).pth ce92e1d
Delete config.json 8ee51c9
Delete config (3).json 21d79d5
Upload 5 files 0d273b8
Update README.md 4f511a7
Upload pytorch_model.bin 40ad354
Upload config.json df6e67d
initial commit 2465fc3
Alex Joseph commited on