Text Classification
Transformers
Safetensors
English
modernbert
nli
cross-encoder
ettin
reranker
hallucination-detection
knowledge-distillation
openjev
text-embeddings-inference
Instructions to use xxparthparekhxx/openjev-flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xxparthparekhxx/openjev-flash with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xxparthparekhxx/openjev-flash")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xxparthparekhxx/openjev-flash") model = AutoModelForSequenceClassification.from_pretrained("xxparthparekhxx/openjev-flash", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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