Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use lmeninato/flan-t5-small-codesearchnet-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmeninato/flan-t5-small-codesearchnet-python with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lmeninato/flan-t5-small-codesearchnet-python") model = AutoModelForSeq2SeqLM.from_pretrained("lmeninato/flan-t5-small-codesearchnet-python", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-5625/optimizer.pt from lmeninato/flan-t5-small-codesearchnet-python: direct link, hf CLI and curl.
- Browser
- Download file 1.14 MB
-
https://huggingface.co/lmeninato/flan-t5-small-codesearchnet-python/resolve/main/checkpoint-5625/optimizer.pt
- Command line
-
hf download hf://lmeninato/flan-t5-small-codesearchnet-python/checkpoint-5625/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/lmeninato/flan-t5-small-codesearchnet-python/resolve/main/checkpoint-5625/optimizer.pt
1.14 MB
- Xet hash:
- 4744780c554518aecc5d5981b600e39750e096bfa15be8a6bcedc85aa49a9e09
- Size of remote file:
- 1.14 MB
- SHA256:
- c9c9fa0c031c8e5b9403080f9bac855cc3a8a7ebc44600713c13f3caf8ce6bf1
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