Instructions to use Finisha-F-scratch/Gemerde with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Finisha-F-scratch/Gemerde with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Finisha-F-scratch/Gemerde") model = AutoModelForSeq2SeqLM.from_pretrained("Finisha-F-scratch/Gemerde", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Finisha-F-scratch/Gemerde: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/Finisha-F-scratch/Gemerde/resolve/98c10fde43a882ca2879d3a77c12e6542243ddcb/tokenizer.json
- Command line
-
hf download hf://Finisha-F-scratch/Gemerde@98c10fde43a882ca2879d3a77c12e6542243ddcb/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Finisha-F-scratch/Gemerde/resolve/98c10fde43a882ca2879d3a77c12e6542243ddcb/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.