Feature Extraction
Transformers
Safetensors
English
bert
quote-attribution
speaker-identification
dialogue-attribution
nlp
text-embeddings-inference
Instructions to use aNameNobodyChose/quote-caster-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aNameNobodyChose/quote-caster-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="aNameNobodyChose/quote-caster-encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("aNameNobodyChose/quote-caster-encoder") model = AutoModel.from_pretrained("aNameNobodyChose/quote-caster-encoder") - Notebooks
- Google Colab
- Kaggle