Instructions to use bqr5tf/ADRv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bqr5tf/ADRv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bqr5tf/ADRv2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bqr5tf/ADRv2") model = AutoModelForSequenceClassification.from_pretrained("bqr5tf/ADRv2") - 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 sha256:85d712b346004c4ca12091767c5aebe51300ca4313e35ca121a62f42aa491704
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size 1421499616
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