Instructions to use mbartolo/electra-large-synqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbartolo/electra-large-synqa 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="mbartolo/electra-large-synqa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mbartolo/electra-large-synqa") model = AutoModelForQuestionAnswering.from_pretrained("mbartolo/electra-large-synqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mbartolo/electra-large-synqa: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/mbartolo/electra-large-synqa/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mbartolo/electra-large-synqa/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mbartolo/electra-large-synqa/resolve/main/pytorch_model.bin
1.34 GB
- Xet hash:
- b064bfef4767961a27f7bed70b6d7db08b2712ead4892d4048177bfec04fa2a7
- Size of remote file:
- 1.34 GB
- SHA256:
- c0bdd78b6de57ee3adb41fe88504b732b091026d970762c8a07b4cb682dfe6cc
路
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