Instructions to use lytang/MiniCheck-DeBERTa-v3-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lytang/MiniCheck-DeBERTa-v3-Large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lytang/MiniCheck-DeBERTa-v3-Large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lytang/MiniCheck-DeBERTa-v3-Large") model = AutoModelForSequenceClassification.from_pretrained("lytang/MiniCheck-DeBERTa-v3-Large") - 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 sha256:8528d6a1399182054c3d2918f58bb67785de50ffde97f5ecdb215eabfb73297d
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size 1740304440
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