Transformers
PyTorch
English
bart
text2text-generation
GENIUS
conditional text generation
sketch-based text generation
keywords-to-text generation
data augmentation
Instructions to use beyond/genius-large-k2t with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beyond/genius-large-k2t with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("beyond/genius-large-k2t") model = AutoModelForSeq2SeqLM.from_pretrained("beyond/genius-large-k2t", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from beyond/genius-large-k2t: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/beyond/genius-large-k2t/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://beyond/genius-large-k2t@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/beyond/genius-large-k2t/resolve/refs%2Fpr%2F1/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.