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 pytorch_model.bin from Splend1dchan/canine-s-squad: direct link, hf CLI and curl.
- Browser
- Download file 529 MB
-
https://huggingface.co/Splend1dchan/canine-s-squad/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Splend1dchan/canine-s-squad/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Splend1dchan/canine-s-squad/resolve/main/pytorch_model.bin
529 MB
- Xet hash:
- 042839803007b2ce1f253fca832b8bdcce1b4f2cc1f378390f706d4361eae6a7
- Size of remote file:
- 529 MB
- SHA256:
- c218d325ffad582af4a30fe8b37d73d0cad97262e7a5479c499d4121f0c48dad
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