Instructions to use alchemist69/5542c032-d3f2-447d-a511-e2f464ac0f48 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/5542c032-d3f2-447d-a511-e2f464ac0f48 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, "alchemist69/5542c032-d3f2-447d-a511-e2f464ac0f48") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state.pth from alchemist69/5542c032-d3f2-447d-a511-e2f464ac0f48: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/alchemist69/5542c032-d3f2-447d-a511-e2f464ac0f48/resolve/main/last-checkpoint/rng_state.pth
- Command line
-
hf download hf://alchemist69/5542c032-d3f2-447d-a511-e2f464ac0f48/last-checkpoint/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/alchemist69/5542c032-d3f2-447d-a511-e2f464ac0f48/resolve/main/last-checkpoint/rng_state.pth
14.2 kB
- Xet hash:
- 6f2806bc648a12b23e4b2d2de20420bb4a20fd833c94f88046d88034567689d6
- Size of remote file:
- 14.2 kB
- SHA256:
- 73fd06ffdf8c34799f5e48c610334cba6e9812cf88658d4e9b90f68296ea21de
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