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 pytorch_model.bin from peril10/Pypinion: direct link, hf CLI and curl.
- Browser
- Download file 501 MB
-
https://huggingface.co/peril10/Pypinion/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://peril10/Pypinion/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/peril10/Pypinion/resolve/main/pytorch_model.bin
501 MB
- Xet hash:
- 620596ae27ffba1328903f01aed04a463cb7ca8238412946f4c8d8a7ebb1581f
- Size of remote file:
- 501 MB
- SHA256:
- 8252356cddad9c1a5802cf01c5ca91102bb622a992fec195efbff4c8bd0b598f
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