Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use Tensorride/Classifier_with_external_sets_02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tensorride/Classifier_with_external_sets_02 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tensorride/Classifier_with_external_sets_02")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tensorride/Classifier_with_external_sets_02") model = AutoModelForSequenceClassification.from_pretrained("Tensorride/Classifier_with_external_sets_02", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe093ac3825c907ac166c28ca79975b50b4a5c9b038feeb6b56802c1370ff32b
- Size of remote file:
- 1.74 GB
- SHA256:
- 3eefafb3e068c046053ca5cc562f11270adf629f00f44eba03de86941c49c1c1
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