Instructions to use peril10/Pypinion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peril10/Pypinion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="peril10/Pypinion")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("peril10/Pypinion") model = AutoModelForSequenceClassification.from_pretrained("peril10/Pypinion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from peril10/Pypinion: direct link, hf CLI and curl.
- Browser
- Download file 1.59 kB
-
https://huggingface.co/peril10/Pypinion/resolve/main/training_args.bin
- Command line
-
hf download hf://peril10/Pypinion/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/peril10/Pypinion/resolve/main/training_args.bin
1.59 kB
- Xet hash:
- a1f65a76ce23b4a3f043b6d4070eb8e056166e6f5ecd8be8aa9e7d7d070403b2
- Size of remote file:
- 1.59 kB
- SHA256:
- e3e4ae27a486a160e9406e419651d9c9f195581e0706ecb0f4f6ee25cfc7e212
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