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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 962da20fef2a318099c071698fe7680a59d55979c67592895906f526093c35d4
- Size of remote file:
- 5.91 kB
- SHA256:
- eeb20963f95fe7961f97501bd23e8e3d15e1668b211a8b69a42389622b7b741f
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