Instructions to use infogeo/abbd1ff6-736e-40b3-8b20-63f12a05bcac with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use infogeo/abbd1ff6-736e-40b3-8b20-63f12a05bcac with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-2-SOLAR-10.7B") model = PeftModel.from_pretrained(base_model, "infogeo/abbd1ff6-736e-40b3-8b20-63f12a05bcac") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18175305092ebcbb5a25fb9117aabe8e56024616b046848dc37c00208b56e891
- Size of remote file:
- 503 MB
- SHA256:
- 921464582e2fb5885e28dc9a697ea6d6d7b884bb5930cd215980a0fc6e4d5626
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