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 special_tokens_map.json from vensonaa/venkat-codellama-7b-Java-finetuning: direct link, hf CLI and curl.
- Browser
- Download file 196 Bytes
-
https://huggingface.co/vensonaa/venkat-codellama-7b-Java-finetuning/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://vensonaa/venkat-codellama-7b-Java-finetuning/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/vensonaa/venkat-codellama-7b-Java-finetuning/resolve/main/special_tokens_map.json
196 Bytes
| { | |
| "additional_special_tokens": [ | |
| "▁<PRE>", | |
| "▁<MID>", | |
| "▁<SUF>", | |
| "▁<EOT>" | |
| ], | |
| "bos_token": "<s>", | |
| "eos_token": "</s>", | |
| "pad_token": "</s>", | |
| "unk_token": "<unk>" | |
| } | |