Text Classification
Transformers
PyTorch
TensorBoard
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use JasperLS/deberta-v3-base-injection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JasperLS/deberta-v3-base-injection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JasperLS/deberta-v3-base-injection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JasperLS/deberta-v3-base-injection") model = AutoModelForSequenceClassification.from_pretrained("JasperLS/deberta-v3-base-injection") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- May08_14-20-04_843b3460659d
- May08_14-38-29_843b3460659d
- May08_14-40-36_843b3460659d
- May08_14-44-30_843b3460659d
- May16_16-06-58_03e0530aac32
- May16_16-13-42_03e0530aac32
- May16_16-23-59_03e0530aac32
- May16_16-26-14_03e0530aac32
- May16_16-28-56_03e0530aac32
- May16_16-33-56_03e0530aac32
- May16_16-37-34_03e0530aac32