Instructions to use aleegis10/02904e21-5e73-46cc-843d-d0fba5342136 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis10/02904e21-5e73-46cc-843d-d0fba5342136 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-1.7B") model = PeftModel.from_pretrained(base_model, "aleegis10/02904e21-5e73-46cc-843d-d0fba5342136") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from aleegis10/02904e21-5e73-46cc-843d-d0fba5342136: direct link, hf CLI and curl.
- Browser
- Download file 147 MB
-
https://huggingface.co/aleegis10/02904e21-5e73-46cc-843d-d0fba5342136/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://aleegis10/02904e21-5e73-46cc-843d-d0fba5342136/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/aleegis10/02904e21-5e73-46cc-843d-d0fba5342136/resolve/main/last-checkpoint/optimizer.pt
147 MB
- Xet hash:
- 41e6769ed60863070f424aef63acf551015e3268c94519d1c47e2f5bcec7df05
- Size of remote file:
- 147 MB
- SHA256:
- 75a407cb324cebea6f018d0de7495ab5b4ce7ca276ca784d9c6abfa6a338ffae
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