Instructions to use openbmb/Eurus-RM-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/Eurus-RM-7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="openbmb/Eurus-RM-7b", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("openbmb/Eurus-RM-7b", trust_remote_code=True) model = AutoModel.from_pretrained("openbmb/Eurus-RM-7b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -0
config.json
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{
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"architectures": [
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"MistralForCausalLM"
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],
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{
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"_name_or_path": "openbmb/Eurus-RM-7b",
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"architectures": [
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"MistralForCausalLM"
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],
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