Instructions to use fedovtt/43cd6feb-7235-49e5-bd3e-8cc6343b544b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fedovtt/43cd6feb-7235-49e5-bd3e-8cc6343b544b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Mistral-7B") model = PeftModel.from_pretrained(base_model, "fedovtt/43cd6feb-7235-49e5-bd3e-8cc6343b544b") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from fedovtt/43cd6feb-7235-49e5-bd3e-8cc6343b544b: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/fedovtt/43cd6feb-7235-49e5-bd3e-8cc6343b544b/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://fedovtt/43cd6feb-7235-49e5-bd3e-8cc6343b544b/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/fedovtt/43cd6feb-7235-49e5-bd3e-8cc6343b544b/resolve/main/last-checkpoint/optimizer.pt
336 MB
- Xet hash:
- ed10223fefc1566456cfc9f9599d54179266afcba1be9a35aa9d48b30ccc6da7
- Size of remote file:
- 336 MB
- SHA256:
- aabdf806b6dc8aa08fcc47aa653cd3948303217ffc47cd4409799423b279d04f
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