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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:12bc55c71bafa5568c422e0a5726b469a71da28f2cd513f5473721c3eac217af
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size 496362116
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