Instructions to use hynky/Category with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hynky/Category with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hynky/Category")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hynky/Category") model = AutoModelForSequenceClassification.from_pretrained("hynky/Category", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hynky/Category: direct link, hf CLI and curl.
- Browser
- Download file 504 MB
-
https://huggingface.co/hynky/Category/resolve/refs%2Fpr%2F2/pytorch_model.bin
- Command line
-
hf download hf://hynky/Category@refs/pr/2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hynky/Category/resolve/refs%2Fpr%2F2/pytorch_model.bin
504 MB
- Xet hash:
- abca7579f010b3198c1f38e33f50db24481f8d2fd5bca4e42fa1d4e010ece2ac
- Size of remote file:
- 504 MB
- SHA256:
- d4fe7cb69ef127ed596d0dd4c5faa413503b268b3e95267bdcf9c8b55ba42406
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