Text Classification
Transformers
Safetensors
English
deberta-v2
cross-encoder
reward-model
forecasting
text-embeddings-inference
Instructions to use HiddenSystemsAI/rem-matcher with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiddenSystemsAI/rem-matcher with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HiddenSystemsAI/rem-matcher")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HiddenSystemsAI/rem-matcher") model = AutoModelForSequenceClassification.from_pretrained("HiddenSystemsAI/rem-matcher", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
4 days ago
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Release REM matcher (v10b checkpoint used as the RL reward)
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