Comments (6)
Hi folks, thanks for the advice. Yes, we are in the process of putting CodeT5 models to Huggingface. Please stay tuned.
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@yuewang-cuhk , can you please add some example usage, as well as fine-tuning the model on custom dataset?
Thanks a lot for this already.
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Yes that would be great, even if the pre-trained weights and code is open sourced, noobs like me will take a lot of time to figure out how to put CodeT5 to actual use in production or as a service.
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Hi folks, we have released CodeT5 models on Hugging Face: CodeT5-small and CodeT5-base!
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YEAY!!!
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Are these models all trained with "multi-task"?
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Related Issues (20)
- raise ProxySchemeUnknown(proxy.scheme) urllib3.exceptions.ProxySchemeUnknown: Proxy URL had no scheme, should start with http:// or https:// Error in atexit._run_exitfuncs:
- Generate different representations between Python and Java code HOT 1
- Can we fine-tuning the Text-to-Code Retrieval task? HOT 2
- Tokenizer: setting lstrip to False for special tokens HOT 5
- please delete this issue
- Is there any way to create embeddings?
- Results of retrieval-augmented code generation
- CodeT5 - Bug detection
- نوشتت کد برای بدست آوردن رمز وای فای نامحدود HOT 2
- 'T5Stack' object has no attribute 'first_device HOT 1
- Failed to train CodeT5p-2b on multi-gpus card
- 70x slower generation time with codet5p_2b compared to codet5p_770m
- How to train models with contrastive losses, masks, etc.
- Minor HOT 1
- CodeT5+ for Code Clone Detection
- Finetuning concode task using finetuned checkpoints HOT 1
- How to initialize encoder with CodeGen-mono 350M?
- If codet5p can generate code for the masked part <extra_id_0>
- How can I finetune CodeT5 model for autocompletion of different programming language, and also what will the data format for this task ??
- Create an expense tracker using HTML, CSS, and JavaScript. Implement features for adding, editing, and deleting expenses. Integrate local storage to save user data
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