Transformers
PyTorch
English
Chinese
bart
text2text-generation
GENIUS
conditional text generation
sketch-based text generation
data augmentation
Instructions to use beyond/genius-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beyond/genius-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("beyond/genius-base") model = AutoModelForSeq2SeqLM.from_pretrained("beyond/genius-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from beyond/genius-base: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/beyond/genius-base/resolve/main/tokenizer.json
- Command line
-
hf download hf://beyond/genius-base/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/beyond/genius-base/resolve/main/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.