Instructions to use quiorte/codebert-Java-8m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use quiorte/codebert-Java-8m with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("neulab/codebert-java") model = PeftModel.from_pretrained(base_model, "quiorte/codebert-Java-8m") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82808bc1341f0e68b6906bf1e820e9f0a836e847f60cf49e14249f4ed00d6f26
- Size of remote file:
- 9.44 MB
- SHA256:
- 72aab0c15adbf880f440271dd5a54d674ddbc6c1b00aae3e93ecd6616e830ed9
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