Text Classification
Transformers
Safetensors
longformer
reward-model
reranking
literary-style
faithfulness
Instructions to use 3rd-Degree-Burn/LongformerRM-Unison with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 3rd-Degree-Burn/LongformerRM-Unison with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="3rd-Degree-Burn/LongformerRM-Unison")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("3rd-Degree-Burn/LongformerRM-Unison") model = AutoModelForSequenceClassification.from_pretrained("3rd-Degree-Burn/LongformerRM-Unison") - Notebooks
- Google Colab
- Kaggle
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# LongformerRM-Unison
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Absolute multi-head reward model for literary
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## Heads
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This model outputs 3 logits in this order:
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# LongformerRM-Unison
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Absolute multi-head reward model for literary writing.
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## Heads
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This model outputs 3 logits in this order:
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