Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Goodnight7/mhqa-cross-encoder-reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Goodnight7/mhqa-cross-encoder-reranker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Goodnight7/mhqa-cross-encoder-reranker")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Goodnight7/mhqa-cross-encoder-reranker") model = AutoModelForSequenceClassification.from_pretrained("Goodnight7/mhqa-cross-encoder-reranker") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80b257e5e564217f4223b6f582e68ad617205be26e23f34be91c068c33b02625
- Size of remote file:
- 5.27 kB
- SHA256:
- 3589cdd9ae1d0fd3fac04dc1c7c5f9b69610677e73a5dd73bc2856c27d268863
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