Instructions to use Splend1dchan/canine-c-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Splend1dchan/canine-c-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Splend1dchan/canine-c-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Splend1dchan/canine-c-squad") model = AutoModelForQuestionAnswering.from_pretrained("Splend1dchan/canine-c-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d9382a69b049e2d91647a5b2ddd925255c853f3c8c3971f9d67002b210f1217
- Size of remote file:
- 1.65 kB
- SHA256:
- dfa90638de90bbaa57528c55a0da82172deb9f9f1db2cec5c60fd02057cfdb71
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