Instructions to use sclizard/deberta-fine-tuned-qse3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sclizard/deberta-fine-tuned-qse3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sclizard/deberta-fine-tuned-qse3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sclizard/deberta-fine-tuned-qse3") model = AutoModelForSequenceClassification.from_pretrained("sclizard/deberta-fine-tuned-qse3", device_map="auto") - 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 sha256:97296cd9adef6ed8b06ad937e5f80ad9cb8f5bf8f05954295af344d526f07595
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size 737719272
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