Instructions to use DATA-ADAPT/offline-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DATA-ADAPT/offline-embedding with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "DATA-ADAPT/offline-embedding") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f03430eaee1d6e50e43b5f800cfac00753cfa6a9e912a0bc7565b760335307b6
- Size of remote file:
- 537 MB
- SHA256:
- 6de66e000cec35dee4c1727a6e7aed8daa5652d5d88a11766d2c39d76caa2cd0
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