Transformers
PyTorch
English
t5
text2text-generation
Explain code
Code Summarization
Summarization
text-generation-inference
Instructions to use describeai/gemini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use describeai/gemini with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("describeai/gemini") model = AutoModelForSeq2SeqLM.from_pretrained("describeai/gemini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e16e32b93d7dd44da01fa74e45f525e9ba6d609814849be64be42ab801f7a97
- Size of remote file:
- 2.95 GB
- SHA256:
- 00d33741d0424411b020dd174a4fc2eb6c1b4eceb504e4d2be55eef92c377ffe
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