Instructions to use supermaxmodels/testm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use supermaxmodels/testm with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ybelkada/falcon-7b-sharded-bf16") model = PeftModel.from_pretrained(base_model, "supermaxmodels/testm") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from supermaxmodels/testm: direct link, hf CLI and curl.
- Browser
- Download file 1.04 GB
-
https://huggingface.co/supermaxmodels/testm/resolve/e24e09e8be00a818eacb52c03518c07bbb79e65f/optimizer.pt
- Command line
-
hf download hf://supermaxmodels/testm@e24e09e8be00a818eacb52c03518c07bbb79e65f/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/supermaxmodels/testm/resolve/e24e09e8be00a818eacb52c03518c07bbb79e65f/optimizer.pt
1.04 GB
- Xet hash:
- 470c4d76795dc9e86df74fbb6544935836b1b0d6242ec4d820881817f76e9bab
- Size of remote file:
- 1.04 GB
- SHA256:
- 53fd3532725422b1cbe5f69e16681b4ce3d5a2f298686b413f19bfa2685eb54c
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