Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use Tensorride/Classifier_with_external_sets_03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tensorride/Classifier_with_external_sets_03 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tensorride/Classifier_with_external_sets_03")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tensorride/Classifier_with_external_sets_03") model = AutoModelForSequenceClassification.from_pretrained("Tensorride/Classifier_with_external_sets_03", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c99139761b0b8e915d3e293f9d5633662c0112f1707a5a1656651eedc5c691c4
- Size of remote file:
- 1.74 GB
- SHA256:
- 68410cf8c613d9514590e8fc9fd2eaf15e039ebdbc52c6e331d33e1197ba13e7
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