Instructions to use eeeebbb2/955eb33f-7d2c-44ff-844e-b6acaa996646 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/955eb33f-7d2c-44ff-844e-b6acaa996646 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Intel/neural-chat-7b-v3-3") model = PeftModel.from_pretrained(base_model, "eeeebbb2/955eb33f-7d2c-44ff-844e-b6acaa996646") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from eeeebbb2/955eb33f-7d2c-44ff-844e-b6acaa996646: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/eeeebbb2/955eb33f-7d2c-44ff-844e-b6acaa996646/resolve/main/training_args.bin
- Command line
-
hf download hf://eeeebbb2/955eb33f-7d2c-44ff-844e-b6acaa996646/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eeeebbb2/955eb33f-7d2c-44ff-844e-b6acaa996646/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 4e82f810501ea27adde9503169d44eb32bddaace867ed6b490bff060e749b9ae
- Size of remote file:
- 6.84 kB
- SHA256:
- 4edcb4a158ed84549c0c9a9797a4292308d37a0f87410fee56bafd75bfc2af7d
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