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-4875/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/refs%2Fpr%2F1/checkpoint-4875/optimizer.pt
- Command line
-
hf download hf://lmeninato/t5-small-codesearchnet-multilang-python@refs/pr/1/checkpoint-4875/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/lmeninato/t5-small-codesearchnet-multilang-python/resolve/refs%2Fpr%2F1/checkpoint-4875/optimizer.pt
839 kB
- Xet hash:
- 19689fc738bded66fa9221d0999b1885daa924f558601e09c2d8c45ab5fb7a34
- Size of remote file:
- 839 kB
- SHA256:
- a989c71d2a612825690c8ff5496e5b68849b8204d7200e7c0cae2510369ffa36
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