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/rng_state.pth from dimasik87/789db1f9-602a-4277-932a-b2aecaa0c916: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/dimasik87/789db1f9-602a-4277-932a-b2aecaa0c916/resolve/main/last-checkpoint/rng_state.pth
- Command line
-
hf download hf://dimasik87/789db1f9-602a-4277-932a-b2aecaa0c916/last-checkpoint/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/dimasik87/789db1f9-602a-4277-932a-b2aecaa0c916/resolve/main/last-checkpoint/rng_state.pth
14.2 kB
- Xet hash:
- 780a402b0cc9e9b047570fe5b40e51a2f6932d581b647bc34d8c389c5048dd24
- Size of remote file:
- 14.2 kB
- SHA256:
- cc4262f26a7ae3e87b963a0c97bf7c35ec6460c0fba62e7fd4e3ce9d7a94f7e7
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