Instructions to use anonymoussubmissions/roberta-base-switchboard-normalized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anonymoussubmissions/roberta-base-switchboard-normalized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="anonymoussubmissions/roberta-base-switchboard-normalized")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("anonymoussubmissions/roberta-base-switchboard-normalized") model = AutoModelForTokenClassification.from_pretrained("anonymoussubmissions/roberta-base-switchboard-normalized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c612ed99bb4f8da9f0dc1a9149defcf422c645cddd25231117a23a8c917c06d5
- Size of remote file:
- 496 MB
- SHA256:
- 0a4ca670a253c9ac5e58051633dbc96ea6416b3204017be15c158e9ac2f350d0
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