Instructions to use alchemist69/15149c0b-03a4-4c56-9116-de8da1127d7a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/15149c0b-03a4-4c56-9116-de8da1127d7a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Yarn-Mistral-7b-64k") model = PeftModel.from_pretrained(base_model, "alchemist69/15149c0b-03a4-4c56-9116-de8da1127d7a") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from alchemist69/15149c0b-03a4-4c56-9116-de8da1127d7a: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/alchemist69/15149c0b-03a4-4c56-9116-de8da1127d7a/resolve/main/training_args.bin
- Command line
-
hf download hf://alchemist69/15149c0b-03a4-4c56-9116-de8da1127d7a/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/alchemist69/15149c0b-03a4-4c56-9116-de8da1127d7a/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 9d9f9323a5c62bfe6b286d70a4b26fe86baa5100200b531cbb53be829da03d16
- Size of remote file:
- 6.84 kB
- SHA256:
- 7ee83ffcdb14e6fa789aff36f00a7c8f106c966efb47eb2e6ac17c6a069ba181
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