Text Classification
Transformers
Safetensors
English
roberta
sentiment-analysis
literary-sentiment
Eval Results (legacy)
text-embeddings-inference
Instructions to use fpianz/sentiment-fiction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fpianz/sentiment-fiction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fpianz/sentiment-fiction")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fpianz/sentiment-fiction") model = AutoModelForSequenceClassification.from_pretrained("fpianz/sentiment-fiction") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!