Comments (2)
pip install pillow
pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html
Reference: https://pytorch.org/get-started/previous-versions/
or download whl from https://download.pytorch.org/whl/cu111/torch-1.9.0%2Bcu111-cp38-cp38-win_amd64.whl and install:
pip install torch-1.9.0+cu111-cp38-cp38-win_amd64.whl.whl
visit https://github.com/git-cloner/codegen for details
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The CodeGen model has been integrated with HuggingFace's transformers library, so that the code in this repository is not needed.
Here an example of how to sample with transformers:
https://colab.research.google.com/drive/11YU00W-JLNXn-3YckJGOSxFf_TQfCXYr?usp=sharing
Does this help?
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Related Issues (20)
- What is the hardware requirement for fine tuning codegen 2B and higher models?
- memory out of error. Hardware requirements HOT 1
- A question about the detail of data preprocessing
- Limit of code generation HOT 1
- instruct dataset
- Using LoRA with CodeGen 2B mono HOT 2
- How to use infills sampling?
- What is min loss in CodeGen1B while finetuning.
- Clarity on training data for each of the codegen versions
- How to use gpu to accelerate inference? HOT 1
- How much VRAM do I need if I want to enable GPU acceleration? codegen25-7B-instruct
- Set different temperature
- fine tunning : data format
- AttributeError: 'CodeGen25Tokenizer' object has no attribute 'encoder' HOT 2
- What is the context window for Codegen2? HOT 1
- Defect detection
- Error calling tokenizer.get_vocab() (Codegen2.5) HOT 1
- Atrribute Error: 'AlignConfig' object has no attribute 'encoder', 'PoolFormerConfig' object has no attribute 'encoder'. HOT 1
- Which dataset is used for fine-tuning CodeGen25-7B-multi resulting in CodeGen25-7B-mono?
- AttributeError: 'CodeGenTokenizer' object has no attribute 'encoder'. Did you mean: 'encode'?
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