Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use aiface/videberta-base_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aiface/videberta-base_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aiface/videberta-base_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aiface/videberta-base_v1") model = AutoModelForSequenceClassification.from_pretrained("aiface/videberta-base_v1") - Notebooks
- Google Colab
- Kaggle
| ,negative,neutral,positive | |
| negative,1311,30,68 | |
| neutral,72,44,51 | |
| positive,130,46,1414 | |