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:
# pip install -U transformers accelerate # 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 pytorch_model.bin from beyond/genius-base: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/beyond/genius-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://beyond/genius-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/beyond/genius-base/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- 8c8e6e62392baed28ca6c053c566c2dc04706d9bc85cff10fe419ca508a521f3
- Size of remote file:
- 558 MB
- SHA256:
- 93b6f17686b486296497fdae6a9184bb990156dd7c5eba6e49013f53682edfc1
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