Instructions to use error577/53fda5b9-5939-40dc-9ebf-83573229889a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/53fda5b9-5939-40dc-9ebf-83573229889a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Yarn-Llama-2-13b-64k") model = PeftModel.from_pretrained(base_model, "error577/53fda5b9-5939-40dc-9ebf-83573229889a") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/scheduler.pt from error577/53fda5b9-5939-40dc-9ebf-83573229889a: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/error577/53fda5b9-5939-40dc-9ebf-83573229889a/resolve/main/last-checkpoint/scheduler.pt
- Command line
-
hf download hf://error577/53fda5b9-5939-40dc-9ebf-83573229889a/last-checkpoint/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/error577/53fda5b9-5939-40dc-9ebf-83573229889a/resolve/main/last-checkpoint/scheduler.pt
1.06 kB
- Xet hash:
- e74c824b9a4b42a2869b183d2752654d0f3c215d51260c06b15e2755c888680d
- Size of remote file:
- 1.06 kB
- SHA256:
- 6e676661dea0321cd4ab97850ada7952c2dddc97705dc439507ea94b3f451716
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