Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use orpe42/deberta_MP_dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use orpe42/deberta_MP_dynamic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="orpe42/deberta_MP_dynamic")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("orpe42/deberta_MP_dynamic") model = AutoModelForSequenceClassification.from_pretrained("orpe42/deberta_MP_dynamic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Aug06_12-10-47_erc-hpc-vm042
- Aug06_12-13-56_erc-hpc-vm044
- Aug06_14-27-22_erc-hpc-comp031
- Aug06_15-42-04_erc-hpc-comp031
- Aug06_16-58-04_erc-hpc-comp248
- Aug06_23-42-40_erc-hpc-vm041
- Aug07_08-40-50_erc-hpc-vm041
- Aug07_08-44-07_erc-hpc-comp248
- Aug07_09-31-05_erc-hpc-vm041
- Aug07_09-32-07_erc-hpc-comp248
- Aug18_15-19-24_erc-hpc-comp248
- Aug19_14-33-28_erc-hpc-comp033
- Aug23_16-46-45_erc-hpc-vm042
- Aug24_08-29-23_erc-hpc-comp031
- Oct06_10-13-08_erc-hpc-comp196
- Oct06_13-54-32_erc-hpc-comp246
- Oct07_02-02-05_erc-hpc-comp250
- Oct09_04-59-21_erc-hpc-comp031
- Sep26_14-51-43_erc-hpc-comp246
- Sep29_13-20-28_erc-hpc-comp039