Instructions to use anonymoussubmissions/roberta-base-switchboard-earnings21-normalized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anonymoussubmissions/roberta-base-switchboard-earnings21-normalized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="anonymoussubmissions/roberta-base-switchboard-earnings21-normalized")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("anonymoussubmissions/roberta-base-switchboard-earnings21-normalized") model = AutoModelForTokenClassification.from_pretrained("anonymoussubmissions/roberta-base-switchboard-earnings21-normalized") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot