Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use lmeninato/flan-t5-base-codesearchnet-python3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmeninato/flan-t5-base-codesearchnet-python3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lmeninato/flan-t5-base-codesearchnet-python3") model = AutoModelForSeq2SeqLM.from_pretrained("lmeninato/flan-t5-base-codesearchnet-python3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-117/optimizer.pt from lmeninato/flan-t5-base-codesearchnet-python3: direct link, hf CLI and curl.
- Browser
- Download file 2.37 MB
-
https://huggingface.co/lmeninato/flan-t5-base-codesearchnet-python3/resolve/main/checkpoint-117/optimizer.pt
- Command line
-
hf download hf://lmeninato/flan-t5-base-codesearchnet-python3/checkpoint-117/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/lmeninato/flan-t5-base-codesearchnet-python3/resolve/main/checkpoint-117/optimizer.pt
2.37 MB
- Xet hash:
- cf68431811f07bd5434c96814e83f951681a36bb28cad5fad37ec0149811901a
- Size of remote file:
- 2.37 MB
- SHA256:
- 6a6596f55772107ab8433caeb939adeb9275bcf5f8b567cfc7cfc4a089f6ef43
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