Instructions to use abdullah/microsoft-deberta-v3-small-1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdullah/microsoft-deberta-v3-small-1024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="abdullah/microsoft-deberta-v3-small-1024")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("abdullah/microsoft-deberta-v3-small-1024") model = AutoModelForTokenClassification.from_pretrained("abdullah/microsoft-deberta-v3-small-1024", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"ownerSlug": "abdullahabdelrhim", "modelSlug": "microsoft-deberta-v3-small-1024", "instanceSlug": "microsoft-deberta-v3-small-1024", "framework": "pyTorch", "overview": "", "usage": "# Model Format\n\n# Training Data\n\n# Model Inputs\n\n# Model Outputs\n\n# Model Usage\n\n# Fine-tuning\n\n# Changelog\n", "licenseName": "Apache 2.0", "fineTunable": false, "trainingData": [], "modelInstanceType": "Unspecified", "baseModelInstanceId": 0, "externalBaseModelUrl": "", "title": "microsoft-deberta-v3-small-1024", "id": "abdullahabdelrhim/microsoft-deberta-v3-small-1024"} |