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/optimizer.pt from ErrorAI/c5d7759d-f4ce-4328-b485-a6f8d018b76d: direct link, hf CLI and curl.
- Browser
- Download file 18.8 MB
-
https://huggingface.co/ErrorAI/c5d7759d-f4ce-4328-b485-a6f8d018b76d/resolve/9e524e5a942afdeb2ed56df6f7f78d793dd9286a/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://ErrorAI/c5d7759d-f4ce-4328-b485-a6f8d018b76d@9e524e5a942afdeb2ed56df6f7f78d793dd9286a/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ErrorAI/c5d7759d-f4ce-4328-b485-a6f8d018b76d/resolve/9e524e5a942afdeb2ed56df6f7f78d793dd9286a/last-checkpoint/optimizer.pt
18.8 MB
- Xet hash:
- 4752342eaeef585d96c5697a16430bab664fbbb1329d5918ebb71d470f02dbc5
- Size of remote file:
- 18.8 MB
- SHA256:
- b1945680b8ad3fd04d2d69207fbc76d671472f8ae202acbc860ca2d76d4e44bb
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