Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use selsar/target-abroad-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use selsar/target-abroad-de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="selsar/target-abroad-de")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("selsar/target-abroad-de") model = AutoModelForSequenceClassification.from_pretrained("selsar/target-abroad-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Jan27_15-10-00_dfb09107c6e7
- Jan27_15-16-25_dfb09107c6e7
- Jan27_15-19-24_dfb09107c6e7
- Jan27_15-28-18_dfb09107c6e7
- Jan27_15-33-53_dfb09107c6e7
- Jan29_13-49-01_24d9de2dea01
- Jan29_13-49-31_24d9de2dea01
- Jan29_13-50-01_24d9de2dea01
- Jan29_13-53-16_24d9de2dea01
- Jan29_13-58-36_24d9de2dea01
- Jan30_09-52-26_c334ff6ed326
- Jan30_09-55-15_c334ff6ed326