Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use lmeninato/t5-small-codesearchnet-multilang-python-archive 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-archive 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-archive") model = AutoModelForSeq2SeqLM.from_pretrained("lmeninato/t5-small-codesearchnet-multilang-python-archive", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-4875/optimizer.pt from lmeninato/t5-small-codesearchnet-multilang-python-archive: direct link, hf CLI and curl.
- Browser
- Download file 839 kB
-
https://huggingface.co/lmeninato/t5-small-codesearchnet-multilang-python-archive/resolve/main/checkpoint-4875/optimizer.pt
- Command line
-
hf download hf://lmeninato/t5-small-codesearchnet-multilang-python-archive/checkpoint-4875/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/lmeninato/t5-small-codesearchnet-multilang-python-archive/resolve/main/checkpoint-4875/optimizer.pt
839 kB
- Xet hash:
- 90ad34692ffb3a41eb67bc78e758b6774382ba79811994a08059dce1c77caa6c
- Size of remote file:
- 839 kB
- SHA256:
- ba94b99a7357a746a8eb03ad308f02b8c714a6bc6e0ceac00bd0a49b404ac807
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