Instructions to use screenmate/minicpm_23.06-synth2500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use screenmate/minicpm_23.06-synth2500 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openbmb/MiniCPM-Llama3-V-2_5") model = PeftModel.from_pretrained(base_model, "screenmate/minicpm_23.06-synth2500") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from screenmate/minicpm_23.06-synth2500: direct link, hf CLI and curl.
- Browser
- Download file 9.08 MB
-
https://huggingface.co/screenmate/minicpm_23.06-synth2500/resolve/main/tokenizer.json
- Command line
-
hf download hf://screenmate/minicpm_23.06-synth2500/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/screenmate/minicpm_23.06-synth2500/resolve/main/tokenizer.json
9.08 MB
File too large to display, you can check the raw version instead.