Transformers
PyTorch
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use HuyTran1301/CodeT5p_with_Dual_Retrival with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuyTran1301/CodeT5p_with_Dual_Retrival with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HuyTran1301/CodeT5p_with_Dual_Retrival") model = AutoModelForSeq2SeqLM.from_pretrained("HuyTran1301/CodeT5p_with_Dual_Retrival", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download extra_heads.pt from HuyTran1301/CodeT5p_with_Dual_Retrival: direct link, hf CLI and curl.
- Browser
- Download file 2.1 MB
-
https://huggingface.co/HuyTran1301/CodeT5p_with_Dual_Retrival/resolve/main/extra_heads.pt
- Command line
-
hf download hf://HuyTran1301/CodeT5p_with_Dual_Retrival/extra_heads.pt
-
curl -L -o extra_heads.pt https://huggingface.co/HuyTran1301/CodeT5p_with_Dual_Retrival/resolve/main/extra_heads.pt
2.1 MB
- Xet hash:
- 77344ec4a5c4f267643884c5bffa54c7bea2809768a88bc9cb66dede130d8da2
- Size of remote file:
- 2.1 MB
- SHA256:
- 51f39811cd44d66648528e98d74494ffb749451d8fde060c07b7800f08afff0d
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