Instructions to use henryscheible/qqp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/qqp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/qqp")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/qqp") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/qqp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from henryscheible/qqp: direct link, hf CLI and curl.
- Browser
- Download file 3.38 kB
-
https://huggingface.co/henryscheible/qqp/resolve/main/training_args.bin
- Command line
-
hf download hf://henryscheible/qqp/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/henryscheible/qqp/resolve/main/training_args.bin
3.38 kB
- Xet hash:
- a2173f60e179dfc08e11091120051266556a66335e12f6c8e8148af62ebb4819
- Size of remote file:
- 3.38 kB
- SHA256:
- c8052f894e1d6d61387c672fce0ca75da9a37cda316e1e791dea152330c12d1d
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