Instructions to use ErrorAI/c5d7759d-f4ce-4328-b485-a6f8d018b76d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ErrorAI/c5d7759d-f4ce-4328-b485-a6f8d018b76d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-1.7B") model = PeftModel.from_pretrained(base_model, "ErrorAI/c5d7759d-f4ce-4328-b485-a6f8d018b76d") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/scheduler.pt from ErrorAI/c5d7759d-f4ce-4328-b485-a6f8d018b76d: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/ErrorAI/c5d7759d-f4ce-4328-b485-a6f8d018b76d/resolve/d3b0a031f11560a8dbd4c3ca1da1afc4b747eeee/last-checkpoint/scheduler.pt
- Command line
-
hf download hf://ErrorAI/c5d7759d-f4ce-4328-b485-a6f8d018b76d@d3b0a031f11560a8dbd4c3ca1da1afc4b747eeee/last-checkpoint/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/ErrorAI/c5d7759d-f4ce-4328-b485-a6f8d018b76d/resolve/d3b0a031f11560a8dbd4c3ca1da1afc4b747eeee/last-checkpoint/scheduler.pt
1.06 kB
- Xet hash:
- 056f1b953d137185e5ccf5311842ff4f6f23130b9228ced0ccf5e22509ce4b95
- Size of remote file:
- 1.06 kB
- SHA256:
- a5bfdcce041c9ea47daf7124b9987c48c3cd52a01a7502e37b705c7697288a10
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