Transformers
PyTorch
English
t5
text2text-generation
Explain code
Code Summarization
Summarization
text-generation-inference
Instructions to use describeai/gemini-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use describeai/gemini-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("describeai/gemini-small") model = AutoModelForSeq2SeqLM.from_pretrained("describeai/gemini-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea23f9e7acad54771d4fc2621ad101120a7995e3a623566bcbdb6919339c50ae
- Size of remote file:
- 892 MB
- SHA256:
- 099d76d762fbcd3c196a50a0a7e79ef3d65d7e6b6e044dc49c0f176df04dbc75
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