Instructions to use alchemist69/30f88396-e5f6-4dc3-a9c0-8a3693ea0d8d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/30f88396-e5f6-4dc3-a9c0-8a3693ea0d8d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-instruct-v0.3") model = PeftModel.from_pretrained(base_model, "alchemist69/30f88396-e5f6-4dc3-a9c0-8a3693ea0d8d") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from alchemist69/30f88396-e5f6-4dc3-a9c0-8a3693ea0d8d: direct link, hf CLI and curl.
- Browser
- Download file 671 MB
-
https://huggingface.co/alchemist69/30f88396-e5f6-4dc3-a9c0-8a3693ea0d8d/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://alchemist69/30f88396-e5f6-4dc3-a9c0-8a3693ea0d8d/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/alchemist69/30f88396-e5f6-4dc3-a9c0-8a3693ea0d8d/resolve/main/adapter_model.safetensors
671 MB
- Xet hash:
- 00fa0cb958c74668f3a0b45c37505d5d40fe334bbd7ea536dc574b31d787e64a
- Size of remote file:
- 671 MB
- SHA256:
- d3806e4d537179d79d14947e54f25b7e26db2b1f7f7acc8b06d0dc64bc63c7f7
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