Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use lmeninato/flan-t5-small-codesearchnet-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmeninato/flan-t5-small-codesearchnet-python with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lmeninato/flan-t5-small-codesearchnet-python") model = AutoModelForSeq2SeqLM.from_pretrained("lmeninato/flan-t5-small-codesearchnet-python", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1500/optimizer.pt from lmeninato/flan-t5-small-codesearchnet-python: direct link, hf CLI and curl.
- Browser
- Download file 1.14 MB
-
https://huggingface.co/lmeninato/flan-t5-small-codesearchnet-python/resolve/main/checkpoint-1500/optimizer.pt
- Command line
-
hf download hf://lmeninato/flan-t5-small-codesearchnet-python/checkpoint-1500/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/lmeninato/flan-t5-small-codesearchnet-python/resolve/main/checkpoint-1500/optimizer.pt
1.14 MB
- Xet hash:
- ba819f90721e61bd497b199b37152abffa9f53dd0193801a670d1b3d0ca3716d
- Size of remote file:
- 1.14 MB
- SHA256:
- 33d481967fce6684338e487f3e98a6162b5ef0ed3e853791406be6f93b3b44a7
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