Instructions to use cimol/f7526a94-e690-4cf4-b3d9-bb77f3736062 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/f7526a94-e690-4cf4-b3d9-bb77f3736062 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/opt-125m") model = PeftModel.from_pretrained(base_model, "cimol/f7526a94-e690-4cf4-b3d9-bb77f3736062") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from cimol/f7526a94-e690-4cf4-b3d9-bb77f3736062: direct link, hf CLI and curl.
- Browser
- Download file 798 kB
-
https://huggingface.co/cimol/f7526a94-e690-4cf4-b3d9-bb77f3736062/resolve/main/vocab.json
- Command line
-
hf download hf://cimol/f7526a94-e690-4cf4-b3d9-bb77f3736062/vocab.json
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curl -L -o vocab.json https://huggingface.co/cimol/f7526a94-e690-4cf4-b3d9-bb77f3736062/resolve/main/vocab.json
798 kB
File too large to display, you can check the raw version instead.