Instructions to use ErrorAI/4290308c-da68-4fb0-95c6-e06493cf85c9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ErrorAI/4290308c-da68-4fb0-95c6-e06493cf85c9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("katuni4ka/tiny-random-falcon-40b") model = PeftModel.from_pretrained(base_model, "ErrorAI/4290308c-da68-4fb0-95c6-e06493cf85c9") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/scheduler.pt from ErrorAI/4290308c-da68-4fb0-95c6-e06493cf85c9: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/ErrorAI/4290308c-da68-4fb0-95c6-e06493cf85c9/resolve/60a168d591b1cece954cc49516d96cdd661515cb/last-checkpoint/scheduler.pt
- Command line
-
hf download hf://ErrorAI/4290308c-da68-4fb0-95c6-e06493cf85c9@60a168d591b1cece954cc49516d96cdd661515cb/last-checkpoint/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/ErrorAI/4290308c-da68-4fb0-95c6-e06493cf85c9/resolve/60a168d591b1cece954cc49516d96cdd661515cb/last-checkpoint/scheduler.pt
1.06 kB
- Xet hash:
- c278bfe2e6e05d1acc6d1b05a6fde85a893cfefac8e6288e27168ffd9739a520
- Size of remote file:
- 1.06 kB
- SHA256:
- 0ee8dee9cedcd1fe2ff7ecd82756d62d8c60cb522ecedc8de6c7ca59c472201d
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