Instructions to use VERSIL91/ad05fe83-9af7-4e8f-ae1f-db2e026036cc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/ad05fe83-9af7-4e8f-ae1f-db2e026036cc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("jhflow/mistral7b-lora-multi-turn-v2") model = PeftModel.from_pretrained(base_model, "VERSIL91/ad05fe83-9af7-4e8f-ae1f-db2e026036cc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39fb99da8bf17ee1efbfefaf9f63ad96d476d80eaf010d5f357145f4342b159e
- Size of remote file:
- 83.9 MB
- SHA256:
- ba0d7b79cb99dbceca0f1b361bf3ecb4adc5d96f458ba40da0a0cdd5084798b2
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