Instructions to use OpenAssistant/reward-model-electra-large-discriminator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenAssistant/reward-model-electra-large-discriminator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OpenAssistant/reward-model-electra-large-discriminator")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OpenAssistant/reward-model-electra-large-discriminator") model = AutoModelForSequenceClassification.from_pretrained("OpenAssistant/reward-model-electra-large-discriminator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c963407f30d50470e082e1369761c0b3fd8e3fd67eaba547b6c1812086a6cdc
- Size of remote file:
- 3.45 kB
- SHA256:
- 321aaabef7568e517bca0a26f23adae1622dcc40047f59d6454d24ef4335f240
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