Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Goodnight7/mhqa-cross-encoder-reranker-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Goodnight7/mhqa-cross-encoder-reranker-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Goodnight7/mhqa-cross-encoder-reranker-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Goodnight7/mhqa-cross-encoder-reranker-v2") model = AutoModelForSequenceClassification.from_pretrained("Goodnight7/mhqa-cross-encoder-reranker-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 728910962e55715f6ac4b38e6598e6bd61e66bf1fd679090685fbf3357b3a8f9
- Size of remote file:
- 5.71 kB
- SHA256:
- 5480478eddea9775bd07d0fefa1452452858a7ce6edaa72c12fcfbfd97493b9a
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