Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use KingTechnician/deberta-v3-base_Climate_LRTC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KingTechnician/deberta-v3-base_Climate_LRTC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KingTechnician/deberta-v3-base_Climate_LRTC")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KingTechnician/deberta-v3-base_Climate_LRTC") model = AutoModelForSequenceClassification.from_pretrained("KingTechnician/deberta-v3-base_Climate_LRTC") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f8c11c7cc54512fcfe6ba78eaae10d5ea281dc6c14cdaf96a0dff40625407ee
- Size of remote file:
- 5.27 kB
- SHA256:
- 6bf10d2cdd681f5f05b0ff34870dc0c472bbc5e2fe40d5a575cba68fce6f5951
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