Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use lmeninato/t5-small-codesearchnet-multilang-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmeninato/t5-small-codesearchnet-multilang-python with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lmeninato/t5-small-codesearchnet-multilang-python") model = AutoModelForSeq2SeqLM.from_pretrained("lmeninato/t5-small-codesearchnet-multilang-python", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-4500/optimizer.pt from lmeninato/t5-small-codesearchnet-multilang-python: direct link, hf CLI and curl.
- Browser
- Download file 839 kB
-
https://huggingface.co/lmeninato/t5-small-codesearchnet-multilang-python/resolve/main/checkpoint-4500/optimizer.pt
- Command line
-
hf download hf://lmeninato/t5-small-codesearchnet-multilang-python/checkpoint-4500/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/lmeninato/t5-small-codesearchnet-multilang-python/resolve/main/checkpoint-4500/optimizer.pt
839 kB
- Xet hash:
- bd6e8a1b5b59ebdd6900b2e2a79a700a11db09c999e1be76bba34d95f5c1c059
- Size of remote file:
- 839 kB
- SHA256:
- 4df0924aa7e0451ffa4e8a9e70c20ecb5edf95dc6eda45d9c1fbb2fef0c415b1
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