Instructions to use arcwarden46/88bf4886-8db7-45df-83eb-32fdeb40f468 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arcwarden46/88bf4886-8db7-45df-83eb-32fdeb40f468 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("echarlaix/tiny-random-mistral") model = PeftModel.from_pretrained(base_model, "arcwarden46/88bf4886-8db7-45df-83eb-32fdeb40f468") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from arcwarden46/88bf4886-8db7-45df-83eb-32fdeb40f468: direct link, hf CLI and curl.
- Browser
- Download file 458 kB
-
https://huggingface.co/arcwarden46/88bf4886-8db7-45df-83eb-32fdeb40f468/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://arcwarden46/88bf4886-8db7-45df-83eb-32fdeb40f468/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/arcwarden46/88bf4886-8db7-45df-83eb-32fdeb40f468/resolve/main/last-checkpoint/optimizer.pt
458 kB
- Xet hash:
- e112a8b06b723a33aed8c175a9c94f21938708e6579dbd1d811c2b13dae6e694
- Size of remote file:
- 458 kB
- SHA256:
- a0184c39ff162225b451e2ccdf405ff45229f1a2b169cab95e2c562a0f0281b7
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