Instructions to use ivangrapher/11790f01-74e1-42f1-9103-6e6af08940f1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ivangrapher/11790f01-74e1-42f1-9103-6e6af08940f1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0") model = PeftModel.from_pretrained(base_model, "ivangrapher/11790f01-74e1-42f1-9103-6e6af08940f1") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ivangrapher/11790f01-74e1-42f1-9103-6e6af08940f1: direct link, hf CLI and curl.
- Browser
- Download file 6.71 kB
-
https://huggingface.co/ivangrapher/11790f01-74e1-42f1-9103-6e6af08940f1/resolve/main/training_args.bin
- Command line
-
hf download hf://ivangrapher/11790f01-74e1-42f1-9103-6e6af08940f1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ivangrapher/11790f01-74e1-42f1-9103-6e6af08940f1/resolve/main/training_args.bin
6.71 kB
- Xet hash:
- 0f1324852de19ac2bce75fc30ea0cf11d205eb1f05764870447becf0c12fe066
- Size of remote file:
- 6.71 kB
- SHA256:
- cfe3099a67099c3fd10188ffcd4790318d3bb2f392d8dd2d39dc456bda289af0
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