Instructions to use Kuwon/chkpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kuwon/chkpt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Kuwon/chkpt")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Kuwon/chkpt") model = AutoModelForSequenceClassification.from_pretrained("Kuwon/chkpt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Kuwon/chkpt: direct link, hf CLI and curl.
- Browser
- Download file 4.47 kB
-
https://huggingface.co/Kuwon/chkpt/resolve/main/training_args.bin
- Command line
-
hf download hf://Kuwon/chkpt/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Kuwon/chkpt/resolve/main/training_args.bin
4.47 kB
- Xet hash:
- ff88d3610a2f7066736bd2013cc357b70b0e6eecc77f979a06ae6669c65dbde8
- Size of remote file:
- 4.47 kB
- SHA256:
- f59d99273ae6d60913daf2fd55a73b8ef84230e8a5e7896868c505496544e3b6
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