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-4500/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-4500/optimizer.pt
- Command line
-
hf download hf://lmeninato/t5-small-codesearchnet-python-stripped/checkpoint-4500/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/lmeninato/t5-small-codesearchnet-python-stripped/resolve/main/checkpoint-4500/optimizer.pt
839 kB
- Xet hash:
- b8fd2451ad6e61c56bf5f98d81e275498087999a04a025efedd295add35e5169
- Size of remote file:
- 839 kB
- SHA256:
- b36128e91a37d7c4bfe5d6a4b2f595302345ed0ccc7ddedcaa66abbff5610722
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