Instructions to use zember/Aim-EE-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zember/Aim-EE-7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="zember/Aim-EE-7b", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zember/Aim-EE-7b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Browse files- tokenizer.model +3 -0
tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:4be54af290d93c113bcbf421115ae9eed9d6340408f564898f1e966dc738ef01
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size 1136699
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