Text Classification
Transformers
PyTorch
Safetensors
English
deberta-v2
Trained with AutoTrain
text-embeddings-inference
Instructions to use AyoubChLin/delberta_large_bbc_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AyoubChLin/delberta_large_bbc_news with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AyoubChLin/delberta_large_bbc_news")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AyoubChLin/delberta_large_bbc_news") model = AutoModelForSequenceClassification.from_pretrained("AyoubChLin/delberta_large_bbc_news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (3bf0f9b430d81d5a9cc31437e77963fc8bc0f3fc) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>c767b4d
-
Update README.md
9612a1f -
Update config.json
0839713 -
Commit From AutoTrain
f4d6f0b -
initial commit
26e12cf