Instructions to use anonymoussubmissions/roberta-large-switchboard-non-normalized-and-normalized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anonymoussubmissions/roberta-large-switchboard-non-normalized-and-normalized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="anonymoussubmissions/roberta-large-switchboard-non-normalized-and-normalized")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("anonymoussubmissions/roberta-large-switchboard-non-normalized-and-normalized") model = AutoModelForTokenClassification.from_pretrained("anonymoussubmissions/roberta-large-switchboard-non-normalized-and-normalized") - 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 sha256:22eb50abca73d26ab95173cd6bd673821d343f06c19eeed3e02cb0a7c17fb4df
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size 1417444508
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