Instructions to use mrm8488/spanbert-base-finetuned-squadv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/spanbert-base-finetuned-squadv1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mrm8488/spanbert-base-finetuned-squadv1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from mrm8488/spanbert-base-finetuned-squadv1: direct link, hf CLI and curl.
- Browser
- Download file 667 MB
-
https://huggingface.co/mrm8488/spanbert-base-finetuned-squadv1/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://mrm8488/spanbert-base-finetuned-squadv1/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/mrm8488/spanbert-base-finetuned-squadv1/resolve/main/flax_model.msgpack
667 MB
- Xet hash:
- 2085764df79f88ee58ab874f5dee0f5a11831925df85099ecbbb1f6f6fc1ce77
- Size of remote file:
- 667 MB
- SHA256:
- f89547874eb7988664e3e0c140b3f4687da32d84dd8021a70ffcb84f26cae424
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