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/0a9b354c1fb13fcb69caae444783ec72032dfe50/last-checkpoint/scheduler.pt
- Command line
-
hf download hf://ErrorAI/c5d7759d-f4ce-4328-b485-a6f8d018b76d@0a9b354c1fb13fcb69caae444783ec72032dfe50/last-checkpoint/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/ErrorAI/c5d7759d-f4ce-4328-b485-a6f8d018b76d/resolve/0a9b354c1fb13fcb69caae444783ec72032dfe50/last-checkpoint/scheduler.pt
1.06 kB
- Xet hash:
- e943557c2cc7b3ab3548d86ce38f419b750257b434160ca9cff62002d3fb00dd
- Size of remote file:
- 1.06 kB
- SHA256:
- c7e358676b58c9d41544b729ac6d60ba0bab554a0dd0aad8ac1a4018c4c9d90d
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