Instructions to use nhungphammmmm/bdd278fb-5d81-4997-9dcb-29ac804f4e54 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/bdd278fb-5d81-4997-9dcb-29ac804f4e54 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/bdd278fb-5d81-4997-9dcb-29ac804f4e54") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a4aef036fd469b50fb189bab4290f4530796862a5031a1136896afcb09cba30
- Size of remote file:
- 83.9 MB
- SHA256:
- 7c93775271661a9631d2ae58ba0770a80168740616b46324fc40755dc2c9b1be
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