Instructions to use metricspace/DataPrivacyComplianceCheck-3B-V0.9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use metricspace/DataPrivacyComplianceCheck-3B-V0.9 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("metricspace/DataPrivacyComplianceCheck-3B-V0.9") model = AutoModelForSeq2SeqLM.from_pretrained("metricspace/DataPrivacyComplianceCheck-3B-V0.9") - 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 sha256:5e7fc006e77205e1a46d01ff36656b49aa13cde3b38067cf366c532c6f17e6b7
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size 5699583632
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