Instructions to use Bachhoang/continual-pretraining-checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Bachhoang/continual-pretraining-checkpoint with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Bachhoang/vbd-llama2-7B-legals-chat") model = PeftModel.from_pretrained(base_model, "Bachhoang/continual-pretraining-checkpoint") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Bachhoang/continual-pretraining-checkpoint: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/Bachhoang/continual-pretraining-checkpoint/resolve/main/training_args.bin
- Command line
-
hf download hf://Bachhoang/continual-pretraining-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Bachhoang/continual-pretraining-checkpoint/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- 4b64566a129c28c329537a4c1816ebeb8104a833f7f83ac72a6211072606a68c
- Size of remote file:
- 4.98 kB
- SHA256:
- 7e391c1f5a5a7e0f545dd4c81c0131f4dc2235865b993eabc1e04e77f57454b7
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