Instructions to use alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637: direct link, hf CLI and curl.
- Browser
- Download file 341 MB
-
https://huggingface.co/alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637/resolve/main/last-checkpoint/optimizer.pt
341 MB
- Xet hash:
- 60806e0b11d186f724854cf3c1305ffd0c8e26a9caa99d74149f5a13e25c7423
- Size of remote file:
- 341 MB
- SHA256:
- 42abc985edcef1d26f994f350f34b4cf45b963e799d5263d14fe2ebc442cb646
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