Instructions to use YakovElm/Apache5_DeBERTaV3Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YakovElm/Apache5_DeBERTaV3Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YakovElm/Apache5_DeBERTaV3Model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YakovElm/Apache5_DeBERTaV3Model") model = AutoModelForSequenceClassification.from_pretrained("YakovElm/Apache5_DeBERTaV3Model") - 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 sha256:217de3abf2fd065e006bca97a2bda9f5c91662a830f5398afee9f560b10aac85
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size 795912880
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