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/scheduler.pt from aleegis10/328c7fca-9a6b-4269-9dfe-e170212caa1c: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/aleegis10/328c7fca-9a6b-4269-9dfe-e170212caa1c/resolve/291cd794d3f55d9d73a3a958255d321faf55a37f/last-checkpoint/scheduler.pt
- Command line
-
hf download hf://aleegis10/328c7fca-9a6b-4269-9dfe-e170212caa1c@291cd794d3f55d9d73a3a958255d321faf55a37f/last-checkpoint/scheduler.pt
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curl -L -o scheduler.pt https://huggingface.co/aleegis10/328c7fca-9a6b-4269-9dfe-e170212caa1c/resolve/291cd794d3f55d9d73a3a958255d321faf55a37f/last-checkpoint/scheduler.pt
1.06 kB
- Xet hash:
- cc7682a0be00ae1bc602a7b8b1a194941b76291332c979a047a94a5ad4b191f9
- Size of remote file:
- 1.06 kB
- SHA256:
- 4b558e006f22db1c6e5a01a5dd105886a50115c9a7455a4edea1c9f2a52bd4dd
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