Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use angela220/out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use angela220/out with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="angela220/out")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("angela220/out") model = AutoModelForSequenceClassification.from_pretrained("angela220/out") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fceb0a45e84a4d9034be1443e68364c4bda642eb1f4ac2b8cdc5ba4f12f6a14
- Size of remote file:
- 5.33 kB
- SHA256:
- 5cc8e7a9fe881d864469c3298c9364b50c98364976b2d109898b34e9fb77d481
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