Instructions to use vensonaa/venkat-codellama-7b-Java-finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vensonaa/venkat-codellama-7b-Java-finetuning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "vensonaa/venkat-codellama-7b-Java-finetuning") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from vensonaa/venkat-codellama-7b-Java-finetuning: direct link, hf CLI and curl.
- Browser
- Download file 126 Bytes
-
https://huggingface.co/vensonaa/venkat-codellama-7b-Java-finetuning/resolve/main/added_tokens.json
- Command line
-
hf download hf://vensonaa/venkat-codellama-7b-Java-finetuning/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/vensonaa/venkat-codellama-7b-Java-finetuning/resolve/main/added_tokens.json
126 Bytes
| { | |
| "</s>": 2, | |
| "<s>": 1, | |
| "<unk>": 0, | |
| "▁<EOT>": 32010, | |
| "▁<MID>": 32009, | |
| "▁<PRE>": 32007, | |
| "▁<SUF>": 32008 | |
| } | |