Instructions to use gaborcselle/dan-lp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaborcselle/dan-lp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gaborcselle/dan-lp")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gaborcselle/dan-lp") model = AutoModelForSequenceClassification.from_pretrained("gaborcselle/dan-lp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (d9b18ec4eb7f67299dd535daa8057282dcbdb9bf) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>4c43abc
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First commit
Gabor Cselle7566068 -
initial commit
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