Instructions to use ayoub-edh/Finetuned_PLBART_Java_Unit_Test_Generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayoub-edh/Finetuned_PLBART_Java_Unit_Test_Generator with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ayoub-edh/Finetuned_PLBART_Java_Unit_Test_Generator") model = AutoModelForSeq2SeqLM.from_pretrained("ayoub-edh/Finetuned_PLBART_Java_Unit_Test_Generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from ayoub-edh/Finetuned_PLBART_Java_Unit_Test_Generator: direct link, hf CLI and curl.
- Browser
- Download file 1.62 GB
-
https://huggingface.co/ayoub-edh/Finetuned_PLBART_Java_Unit_Test_Generator/resolve/main/model.safetensors
- Command line
-
hf download hf://ayoub-edh/Finetuned_PLBART_Java_Unit_Test_Generator/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/ayoub-edh/Finetuned_PLBART_Java_Unit_Test_Generator/resolve/main/model.safetensors
1.62 GB
- Xet hash:
- c5662e739e7f67ad6feeb94943b76e8c1ef98909aeb2e79c3845333d98a34b26
- Size of remote file:
- 1.62 GB
- SHA256:
- f53597094081090d62179e4a81a09149ea4b203d0ea43d35beea1c39494ac7e8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.