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/pytorch_model.bin from lmeninato/t5-small-codesearchnet-python3: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/lmeninato/t5-small-codesearchnet-python3/resolve/refs%2Fpr%2F1/checkpoint-39/pytorch_model.bin
- Command line
-
hf download hf://lmeninato/t5-small-codesearchnet-python3@refs/pr/1/checkpoint-39/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/lmeninato/t5-small-codesearchnet-python3/resolve/refs%2Fpr%2F1/checkpoint-39/pytorch_model.bin
242 MB
- Xet hash:
- 263955f23b5854a682295d7b51e237970a069a8c13caa06b4b944c147065cac9
- Size of remote file:
- 242 MB
- SHA256:
- d8b6565cc2bf113af72ebedb75ba40fbc5109347ee9bcdbc410dbed25cd666bc
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