Text Generation
PEFT
Safetensors
ordivo
neural-decision-intelligence
decision-model
mcdm
lora
copras
waspas
vikor
topsis
conversational
Instructions to use blackOrder/Ordivo-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use blackOrder/Ordivo-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LiquidAI/d1-3B") model = PeftModel.from_pretrained(base_model, "blackOrder/Ordivo-v1") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from blackOrder/Ordivo-v1: direct link, hf CLI and curl.
- Browser
- Download file 17.9 MB
-
https://huggingface.co/blackOrder/Ordivo-v1/resolve/main/tokenizer.json
- Command line
-
hf download hf://blackOrder/Ordivo-v1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/blackOrder/Ordivo-v1/resolve/main/tokenizer.json
17.9 MB
- Xet hash:
- 33b6e1bd4c880c243e574aa86d136ef08b756f43a6ebb6f3151766aba0e92fb8
- Size of remote file:
- 17.9 MB
- SHA256:
- c4687c0046da6579aba6f9aa713e9bed61e5fd210b0e012028ae57751d028689
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.