Instructions to use kevinwsbr/starcoder-vulnfixes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kevinwsbr/starcoder-vulnfixes with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-15b") model = PeftModel.from_pretrained(base_model, "kevinwsbr/starcoder-vulnfixes") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "Starcoder2ForCausalLM" | |
| ], | |
| "attention_dropout": 0.1, | |
| "bos_token_id": 0, | |
| "embedding_dropout": 0.1, | |
| "eos_token_id": 0, | |
| "hidden_act": "gelu_pytorch_tanh", | |
| "hidden_size": 6144, | |
| "initializer_range": 0.01275, | |
| "intermediate_size": 24576, | |
| "max_position_embeddings": 16384, | |
| "mlp_type": "default", | |
| "model_type": "starcoder2", | |
| "norm_epsilon": 1e-05, | |
| "norm_type": "layer_norm", | |
| "num_attention_heads": 48, | |
| "num_hidden_layers": 40, | |
| "num_key_value_heads": 4, | |
| "residual_dropout": 0.1, | |
| "rope_scaling": null, | |
| "rope_theta": 100000, | |
| "sliding_window": 4096, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.51.3", | |
| "use_bias": true, | |
| "use_cache": true, | |
| "vocab_size": 49152 | |
| } | |