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-156/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-156/optimizer.pt
- Command line
-
hf download hf://lmeninato/flan-t5-base-codesearchnet-python3/checkpoint-156/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/lmeninato/flan-t5-base-codesearchnet-python3/resolve/main/checkpoint-156/optimizer.pt
2.37 MB
- Xet hash:
- 2787b194e13cc4f71f639d33c326e83df11c9ffe375a0c0dd4813272e9921172
- Size of remote file:
- 2.37 MB
- SHA256:
- 02ae078f2834f0f6c958dd12086c9842577c7df64f4a90f052f9d5842dddae5c
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