Instructions to use tuantmdev/6860d41c-54b0-429a-b48d-4e896b5c9961 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuantmdev/6860d41c-54b0-429a-b48d-4e896b5c9961 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Theta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "tuantmdev/6860d41c-54b0-429a-b48d-4e896b5c9961") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1aefc9c82d94b0a653fb6c26570c8488f78c983e082f5b88b55104becb261868
- Size of remote file:
- 14.2 kB
- SHA256:
- 33eb612e08d19c1cbd851b37d45e5358a268bbf325344a2480d41bdd2efcb680
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