Instructions to use dimasik87/789db1f9-602a-4277-932a-b2aecaa0c916 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/789db1f9-602a-4277-932a-b2aecaa0c916 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, "dimasik87/789db1f9-602a-4277-932a-b2aecaa0c916") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from dimasik87/789db1f9-602a-4277-932a-b2aecaa0c916: direct link, hf CLI and curl.
- Browser
- Download file 145 MB
-
https://huggingface.co/dimasik87/789db1f9-602a-4277-932a-b2aecaa0c916/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://dimasik87/789db1f9-602a-4277-932a-b2aecaa0c916/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/dimasik87/789db1f9-602a-4277-932a-b2aecaa0c916/resolve/main/last-checkpoint/optimizer.pt
145 MB
- Xet hash:
- 822a5c6169124d4dc51a7c77ac810bf4d88338c620dd77c5e9506c675e91d411
- Size of remote file:
- 145 MB
- SHA256:
- 73174e590b26ad251e8aa7adc410f5ae3c09cd8efd2d61304f6523e9f5521c60
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