Instructions to use dflcmu/fine_tune_spatial_validation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dflcmu/fine_tune_spatial_validation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="dflcmu/fine_tune_spatial_validation")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("dflcmu/fine_tune_spatial_validation") model = AutoModelForQuestionAnswering.from_pretrained("dflcmu/fine_tune_spatial_validation") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d4e9a0223788cb8dbd1e514eb1179f4f6d3f3b2b0b75b4528f5e70c5656ce492
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size 496254448
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