Instructions to use AravindS373/checkpoint_book with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AravindS373/checkpoint_book with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("AravindS373/sft_model") model = PeftModel.from_pretrained(base_model, "AravindS373/checkpoint_book") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from AravindS373/checkpoint_book: direct link, hf CLI and curl.
- Browser
- Download file 1.29 GB
-
https://huggingface.co/AravindS373/checkpoint_book/resolve/main/optimizer.pt
- Command line
-
hf download hf://AravindS373/checkpoint_book/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/AravindS373/checkpoint_book/resolve/main/optimizer.pt
1.29 GB
- Xet hash:
- 4f8858ba77c70609a051db588808bbd944e2a912f647a09fa33e9f3afa18c418
- Size of remote file:
- 1.29 GB
- SHA256:
- 56022cabf5d5cfa767d5adbf02c55994f27d030ccf79132ea3eb337ed07f743e
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