Transformers
PyTorch
Safetensors
English
t5
text2text-generation
biology
chemistry
text-generation-inference
Instructions to use QizhiPei/biot5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QizhiPei/biot5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("QizhiPei/biot5-base") model = AutoModelForMultimodalLM.from_pretrained("QizhiPei/biot5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca54da49d5df573b96ebefd2b0930fe2757a622ddd58a5749f6dd930ea20c0d2
- Size of remote file:
- 1.01 GB
- SHA256:
- c0b4d2da00279f4e1edf4a2663d084e274d964c375c3630257bbb701e1da45a4
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