Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use lmeninato/flan-t5-base-codesearchnet-python3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmeninato/flan-t5-base-codesearchnet-python3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lmeninato/flan-t5-base-codesearchnet-python3") model = AutoModelForSeq2SeqLM.from_pretrained("lmeninato/flan-t5-base-codesearchnet-python3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48eda859bffb674e5f57559f400ec7873ae90571b5e7aeea71f989cb0399dbeb
- Size of remote file:
- 990 MB
- SHA256:
- 8215cf089617ed6ae7a3bd70f65fe059d0d933b7ae3a288160bccf16d870d08c
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