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 training_args.bin from alchemist69/5542c032-d3f2-447d-a511-e2f464ac0f48: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/alchemist69/5542c032-d3f2-447d-a511-e2f464ac0f48/resolve/main/training_args.bin
- Command line
-
hf download hf://alchemist69/5542c032-d3f2-447d-a511-e2f464ac0f48/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/alchemist69/5542c032-d3f2-447d-a511-e2f464ac0f48/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 249a36725f89b6a3a7c1c258f30f59fb38becfe8389ce321f2466d68330e1a1a
- Size of remote file:
- 6.84 kB
- SHA256:
- 1b882539896fec49311321a736559260d458d72bbd498f551e8157572f4f319d
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