Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use lmeninato/t5-small-codesearchnet-python-stripped with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmeninato/t5-small-codesearchnet-python-stripped with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lmeninato/t5-small-codesearchnet-python-stripped") model = AutoModelForSeq2SeqLM.from_pretrained("lmeninato/t5-small-codesearchnet-python-stripped", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-3750/optimizer.pt from lmeninato/t5-small-codesearchnet-python-stripped: direct link, hf CLI and curl.
- Browser
- Download file 839 kB
-
https://huggingface.co/lmeninato/t5-small-codesearchnet-python-stripped/resolve/main/checkpoint-3750/optimizer.pt
- Command line
-
hf download hf://lmeninato/t5-small-codesearchnet-python-stripped/checkpoint-3750/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/lmeninato/t5-small-codesearchnet-python-stripped/resolve/main/checkpoint-3750/optimizer.pt
839 kB
- Xet hash:
- 68db53c999ebcc44cb17a82ed3a2010454a685bc4c14ceb67dcca2ad2a584ad5
- Size of remote file:
- 839 kB
- SHA256:
- 365095b1f034114de5128cb924229d7fd1fc291db23aec5e52f6d495197be081
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