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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:df3771c011cd1cb05d1316b3f8349a2fbc49728ad18ab5aed85668989585e881
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size 1340624024
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