Instructions to use aleegis10/328c7fca-9a6b-4269-9dfe-e170212caa1c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis10/328c7fca-9a6b-4269-9dfe-e170212caa1c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "aleegis10/328c7fca-9a6b-4269-9dfe-e170212caa1c") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state.pth from aleegis10/328c7fca-9a6b-4269-9dfe-e170212caa1c: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/aleegis10/328c7fca-9a6b-4269-9dfe-e170212caa1c/resolve/291cd794d3f55d9d73a3a958255d321faf55a37f/last-checkpoint/rng_state.pth
- Command line
-
hf download hf://aleegis10/328c7fca-9a6b-4269-9dfe-e170212caa1c@291cd794d3f55d9d73a3a958255d321faf55a37f/last-checkpoint/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/aleegis10/328c7fca-9a6b-4269-9dfe-e170212caa1c/resolve/291cd794d3f55d9d73a3a958255d321faf55a37f/last-checkpoint/rng_state.pth
14.2 kB
- Xet hash:
- d42f0d59e68649a9991a98e2c50db7616daaf4ea5885c5dcf1b06151e0ec3b23
- Size of remote file:
- 14.2 kB
- SHA256:
- 115b30833f0e9dcbec99e4b9ba56759874d3888e398e8158c427beba72d1d07e
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