Feature Extraction
Transformers
Safetensors
Russian
English
deberta-v2
transfer-learning
text-embeddings-inference
Instructions to use belyakoff/deberta_v2_nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use belyakoff/deberta_v2_nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="belyakoff/deberta_v2_nli")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("belyakoff/deberta_v2_nli") model = AutoModel.from_pretrained("belyakoff/deberta_v2_nli") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09394522cc737b43d1bb427566ad4be119dc0505a9afc6da5fb2b531fa2db862
- Size of remote file:
- 16.3 MB
- SHA256:
- 6ee6dbcd71a5a4fd2cf976b605b134bb41ec2c1b8fd75fe3fed4fb9d6f1576e8
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