Transformers
PyTorch
English
Chinese
bart
text2text-generation
GENIUS
conditional text generation
sketch-based text generation
data augmentation
Instructions to use beyond/genius-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beyond/genius-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("beyond/genius-large") model = AutoModelForSeq2SeqLM.from_pretrained("beyond/genius-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from beyond/genius-large: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/beyond/genius-large/resolve/f41d45bca6cb2d0a1afceca29e9d593a7b921f2e/pytorch_model.bin
- Command line
-
hf download hf://beyond/genius-large@f41d45bca6cb2d0a1afceca29e9d593a7b921f2e/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/beyond/genius-large/resolve/f41d45bca6cb2d0a1afceca29e9d593a7b921f2e/pytorch_model.bin
1.63 GB
- Xet hash:
- 8feb4d9e8d029d18538cb784cb3fd15b4d8d467668d20a3c68567d92c4b210a7
- Size of remote file:
- 1.63 GB
- SHA256:
- ee5f3072e12f785c528f1c25e69772493204d010fe599f256197dc8309d65fe1
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