Instructions to use venkatchoudharyala/Punctuate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use venkatchoudharyala/Punctuate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="venkatchoudharyala/Punctuate")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("venkatchoudharyala/Punctuate") model = AutoModelForTokenClassification.from_pretrained("venkatchoudharyala/Punctuate", 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 sha256:0e37b8b3c000363cfa61af55f44454e2bf4649f9d1eef4f3db9e9725da63f9ef
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size 265537688
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