Instructions to use deepset/electra-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/electra-base-squad2 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="deepset/electra-base-squad2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deepset/electra-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("deepset/electra-base-squad2", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from deepset/electra-base-squad2: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/deepset/electra-base-squad2/resolve/c9742a3a359cfa6dd4cda1fa94298a83d7fb53c4/pytorch_model.bin
- Command line
-
hf download hf://deepset/electra-base-squad2@c9742a3a359cfa6dd4cda1fa94298a83d7fb53c4/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/deepset/electra-base-squad2/resolve/c9742a3a359cfa6dd4cda1fa94298a83d7fb53c4/pytorch_model.bin
436 MB
- Xet hash:
- 7e3d88c145849b40cb5f27932283a925dc552e4b13179c512a51de8b63130d5b
- Size of remote file:
- 436 MB
- SHA256:
- 33abdbab680c8bae8707320df17c5d4fba5969adb465e81029905fa0284d3d3e
路
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