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 nbest_predictions_.json from Splend1dchan/canine-s-squad: direct link, hf CLI and curl.
- Browser
- Download file 53.5 MB
-
https://huggingface.co/Splend1dchan/canine-s-squad/resolve/main/nbest_predictions_.json
- Command line
-
hf download hf://Splend1dchan/canine-s-squad/nbest_predictions_.json
-
curl -L -o nbest_predictions_.json https://huggingface.co/Splend1dchan/canine-s-squad/resolve/main/nbest_predictions_.json
53.5 MB
- Xet hash:
- 5400bb2ca139bc86d02827a0fd42bd6bb2e414274cc9c26ecaeccb978005162f
- Size of remote file:
- 53.5 MB
- SHA256:
- 0d7605e924c7c6444109ef1a54124fc4e09766cc14674391a4eeb867f5c70b11
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