Instructions to use mrm8488/spanbert-base-finetuned-squadv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/spanbert-base-finetuned-squadv2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mrm8488/spanbert-base-finetuned-squadv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from mrm8488/spanbert-base-finetuned-squadv2: direct link, hf CLI and curl.
- Browser
- Download file 667 MB
-
https://huggingface.co/mrm8488/spanbert-base-finetuned-squadv2/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://mrm8488/spanbert-base-finetuned-squadv2/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/mrm8488/spanbert-base-finetuned-squadv2/resolve/main/flax_model.msgpack
667 MB
- Xet hash:
- f85c27114a9a46eeede0e89ef7277916d8640747d65c8a5e403c19c62d824922
- Size of remote file:
- 667 MB
- SHA256:
- 3c752d608e8943b53fc59f5525ec35c695be8a04ed07d5d5061c7b40f3cb571a
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