Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use lmeninato/t5-small-codesearchnet-python3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmeninato/t5-small-codesearchnet-python3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lmeninato/t5-small-codesearchnet-python3") model = AutoModelForSeq2SeqLM.from_pretrained("lmeninato/t5-small-codesearchnet-python3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-39/training_args.bin from lmeninato/t5-small-codesearchnet-python3: direct link, hf CLI and curl.
- Browser
- Download file 3.9 kB
-
https://huggingface.co/lmeninato/t5-small-codesearchnet-python3/resolve/refs%2Fpr%2F1/checkpoint-39/training_args.bin
- Command line
-
hf download hf://lmeninato/t5-small-codesearchnet-python3@refs/pr/1/checkpoint-39/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/lmeninato/t5-small-codesearchnet-python3/resolve/refs%2Fpr%2F1/checkpoint-39/training_args.bin
3.9 kB
- Xet hash:
- abdc11f54d70ce17a4c7bb7b7196e5a2eee6302e0841c962d1382d4e3a0f662b
- Size of remote file:
- 3.9 kB
- SHA256:
- 570ee3a416dfd6ef078dd96bf19cf6731eaa4d2a0dca96b4480d92f488d198c1
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