Instructions to use error577/b04780ef-9f9b-425c-8e3a-41c0a82a1156 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/b04780ef-9f9b-425c-8e3a-41c0a82a1156 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_3b") model = PeftModel.from_pretrained(base_model, "error577/b04780ef-9f9b-425c-8e3a-41c0a82a1156") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from error577/b04780ef-9f9b-425c-8e3a-41c0a82a1156: direct link, hf CLI and curl.
- Browser
- Download file 104 MB
-
https://huggingface.co/error577/b04780ef-9f9b-425c-8e3a-41c0a82a1156/resolve/01a38c36b4f7e3a56abbf6d2bb37476db0924b9e/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://error577/b04780ef-9f9b-425c-8e3a-41c0a82a1156@01a38c36b4f7e3a56abbf6d2bb37476db0924b9e/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/error577/b04780ef-9f9b-425c-8e3a-41c0a82a1156/resolve/01a38c36b4f7e3a56abbf6d2bb37476db0924b9e/last-checkpoint/optimizer.pt
104 MB
- Xet hash:
- f00f65f95a5ab29f61e321f7338a0e1cd9285964231c571cca03d8bb5a50cd90
- Size of remote file:
- 104 MB
- SHA256:
- 2f2fa57df1e53bce75166d22d54cd572ffee267e94ba040367e741a4dc305286
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