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:
- 757d10f0629eecb4f9c418c32cc95926c3e5769a25710c65cd0e2c6cb86f28ab
- Size of remote file:
- 2.37 MB
- SHA256:
- fcd163e782cae5762129ee1ea358eb21a6dc7d6d7434e4b26c0b62aaf49e2830
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