Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use KingTechnician/deberta-v3-base_Climate_Native with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KingTechnician/deberta-v3-base_Climate_Native with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KingTechnician/deberta-v3-base_Climate_Native")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KingTechnician/deberta-v3-base_Climate_Native") model = AutoModelForSequenceClassification.from_pretrained("KingTechnician/deberta-v3-base_Climate_Native") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3bab7e185df6ecfb63b323d7e9336254e3e9243dbd57b5b44544002b742113be
- Size of remote file:
- 5.27 kB
- SHA256:
- 5a8752fa9d14f1ff0119589d4727d41fd6c2b30c009ba17c8ff7f31fb996844c
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