Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use Stephanie-S/deberta_v3_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Stephanie-S/deberta_v3_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Stephanie-S/deberta_v3_large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Stephanie-S/deberta_v3_large") model = AutoModelForSequenceClassification.from_pretrained("Stephanie-S/deberta_v3_large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
06fbb61 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c64082e6e3a8e4eae752f5b4ae9db7d204379c6b524e36ff85eb2a6b5a28a4c0
size 4920
|