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
- Xet hash:
- a21efb2055088aca8161e9098553d69870a9edc8a4c426804f0dabda65cd4139
- Size of remote file:
- 496 MB
- SHA256:
- 03aeb597334398cca301862cd106ff40ef1846838eedd6d2d43976845a4c83a1
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