Instructions to use Splend1dchan/canine-s-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Splend1dchan/canine-s-squad with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="Splend1dchan/canine-s-squad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Splend1dchan/canine-s-squad") model = AutoModelForQuestionAnswering.from_pretrained("Splend1dchan/canine-s-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Splend1dchan/canine-s-squad: direct link, hf CLI and curl.
- Browser
- Download file 1.65 kB
-
https://huggingface.co/Splend1dchan/canine-s-squad/resolve/main/training_args.bin
- Command line
-
hf download hf://Splend1dchan/canine-s-squad/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Splend1dchan/canine-s-squad/resolve/main/training_args.bin
1.65 kB
- Xet hash:
- b351c3016dbff81bfde861b0fb5da3e5b26c76700a8ed34bd70ad8a657d2c0ae
- Size of remote file:
- 1.65 kB
- SHA256:
- b5a6dc3d98be23b3ede1d654b03d02a275f6ec3149ce8e9fcb0fa7d5089bfc12
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