Instructions to use gavrilstep/85aa9e5d-cbb6-4fe6-9e71-d69f333295b0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gavrilstep/85aa9e5d-cbb6-4fe6-9e71-d69f333295b0 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, "gavrilstep/85aa9e5d-cbb6-4fe6-9e71-d69f333295b0") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from gavrilstep/85aa9e5d-cbb6-4fe6-9e71-d69f333295b0: direct link, hf CLI and curl.
- Browser
- Download file 2.27 GB
-
https://huggingface.co/gavrilstep/85aa9e5d-cbb6-4fe6-9e71-d69f333295b0/resolve/a5830e969cf616d64d2fd52c836c3b2bfe858030/adapter_model.safetensors
- Command line
-
hf download hf://gavrilstep/85aa9e5d-cbb6-4fe6-9e71-d69f333295b0@a5830e969cf616d64d2fd52c836c3b2bfe858030/adapter_model.safetensors
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curl -L -o adapter_model.safetensors https://huggingface.co/gavrilstep/85aa9e5d-cbb6-4fe6-9e71-d69f333295b0/resolve/a5830e969cf616d64d2fd52c836c3b2bfe858030/adapter_model.safetensors
2.27 GB
- Xet hash:
- 1e37f5be40f4a13023e7aa5749b3ac54e713bda844c6fb180e214f56f94d1d65
- Size of remote file:
- 2.27 GB
- SHA256:
- c0a26fee8ab2955c4de33980fb436829892693f95b899a0b004990c3a4c0887b
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