Text Classification
Transformers
TensorBoard
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use jojoman25/deberta-financial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jojoman25/deberta-financial with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jojoman25/deberta-financial")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jojoman25/deberta-financial") model = AutoModelForSequenceClassification.from_pretrained("jojoman25/deberta-financial", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c465373793af41e60acdfd46388baefad21665b1cddf522427323a1ebde7880
- Size of remote file:
- 5.24 kB
- SHA256:
- b19b6d57c6c87d37ebd66510b5d91fb8e4d3fdf1068e75ade4f0189f15500f9f
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