Text Classification
Transformers
TensorBoard
Safetensors
English
bert
cross-encoder
sequence-classification
text-embeddings-inference
Instructions to use xpmir/cross-encoder-MiniLM-L12-DistillRankNET with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xpmir/cross-encoder-MiniLM-L12-DistillRankNET with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xpmir/cross-encoder-MiniLM-L12-DistillRankNET")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xpmir/cross-encoder-MiniLM-L12-DistillRankNET") model = AutoModelForSequenceClassification.from_pretrained("xpmir/cross-encoder-MiniLM-L12-DistillRankNET") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
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