Instructions to use Team-PIXEL/pixel-base-finetuned-squadv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Team-PIXEL/pixel-base-finetuned-squadv1 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="Team-PIXEL/pixel-base-finetuned-squadv1")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForQuestionAnswering model = AutoModelForQuestionAnswering.from_pretrained("Team-PIXEL/pixel-base-finetuned-squadv1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Team-PIXEL/pixel-base-finetuned-squadv1: direct link, hf CLI and curl.
- Browser
- Download file 344 MB
-
https://huggingface.co/Team-PIXEL/pixel-base-finetuned-squadv1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Team-PIXEL/pixel-base-finetuned-squadv1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Team-PIXEL/pixel-base-finetuned-squadv1/resolve/main/pytorch_model.bin
344 MB
- Xet hash:
- 242c6e5e472d638c783f3968063ac3069ed5adb03271b57e4b61ed0ec54fd1ff
- Size of remote file:
- 344 MB
- SHA256:
- 15cb5e9b6fb514fc40bdc875a34f38578eaa32a81c304836d1546f863e32aed0
路
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