Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use lmeninato/t5-small-codesearchnet-multilang-python-java-javascript-go 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-java-javascript-go with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lmeninato/t5-small-codesearchnet-multilang-python-java-javascript-go") model = AutoModelForSeq2SeqLM.from_pretrained("lmeninato/t5-small-codesearchnet-multilang-python-java-javascript-go", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97c9a05d13fbf5d08289f4de8dd9e8c35977bf858c395f7b94ec1b395539f8e6
- Size of remote file:
- 14.6 kB
- SHA256:
- bd4e0a14555d85bd0b7c41e28952ae7ff0cf571d8e5d412c64d04fb5bdd788a8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.