Text Classification
Transformers
Safetensors
German
llama
feature-extraction
reranker
cross-encoder
german
retrieval
rag
on-prem
text-embeddings-inference
Instructions to use keyvan-ai/Mankei-326M-Reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use keyvan-ai/Mankei-326M-Reranker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="keyvan-ai/Mankei-326M-Reranker")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("keyvan-ai/Mankei-326M-Reranker") model = AutoModel.from_pretrained("keyvan-ai/Mankei-326M-Reranker", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7f4f48d7088eaf9df4a63c04a81242319bd5ed1901595998ba81a7af5c9d17e
- Size of remote file:
- 5.65 kB
- SHA256:
- ce0cf93891cbee260a7acfb9c5d66bf3d9c13c68e81fd9eb5cac99838b543edf
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