Instructions to use ngocquangt2k46/90d10116-9f09-4362-b32c-19aeff53de18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ngocquangt2k46/90d10116-9f09-4362-b32c-19aeff53de18 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Yarn-Llama-2-7b-64k") model = PeftModel.from_pretrained(base_model, "ngocquangt2k46/90d10116-9f09-4362-b32c-19aeff53de18") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from ngocquangt2k46/90d10116-9f09-4362-b32c-19aeff53de18: direct link, hf CLI and curl.
- Browser
- Download file 41.1 MB
-
https://huggingface.co/ngocquangt2k46/90d10116-9f09-4362-b32c-19aeff53de18/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://ngocquangt2k46/90d10116-9f09-4362-b32c-19aeff53de18/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ngocquangt2k46/90d10116-9f09-4362-b32c-19aeff53de18/resolve/main/last-checkpoint/optimizer.pt
41.1 MB
- Xet hash:
- ec0cbb0f302e1522db701e80f1bec374cdec0632f55b1365da2209bd90a25e13
- Size of remote file:
- 41.1 MB
- SHA256:
- 3a8ad4ee2e678377fb5d84a5b2edc8da88a31c39faba051ff834e08a35c8df6a
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