Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
ml-intern
text-embeddings-inference
Instructions to use narcolepticchicken/patch-reward-model-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use narcolepticchicken/patch-reward-model-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="narcolepticchicken/patch-reward-model-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("narcolepticchicken/patch-reward-model-v2") model = AutoModelForSequenceClassification.from_pretrained("narcolepticchicken/patch-reward-model-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95ec4db3e3c6e3d76077a88d4b993dcf41c7d4b56e93c595e577d95c1d0a7499
- Size of remote file:
- 5.33 kB
- SHA256:
- 81b9f1fee4aa42b85ceebc7e8dec3c30c23b39104aa685a9b6cd94a526088761
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