Instructions to use kredor/punctuate-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kredor/punctuate-all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kredor/punctuate-all")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kredor/punctuate-all") model = AutoModelForTokenClassification.from_pretrained("kredor/punctuate-all", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kredor/punctuate-all: direct link, hf CLI and curl.
- Browser
- Download file 3.18 kB
-
https://huggingface.co/kredor/punctuate-all/resolve/main/training_args.bin
- Command line
-
hf download hf://kredor/punctuate-all/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kredor/punctuate-all/resolve/main/training_args.bin
3.18 kB
- Xet hash:
- 84034bf713dc49b0ebc11f7f4d9199b76207f7d81b466d03ef778f17360898a1
- Size of remote file:
- 3.18 kB
- SHA256:
- 294e3f7a9228c98125c1ebe8283588c44248dba671521a95006840f6676f28c3
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