Instructions to use mole-code/langchain-starcoderbase-1b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mole-code/langchain-starcoderbase-1b-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mole-code/langchain-starcoderbase-1b-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_config.json from mole-code/langchain-starcoderbase-1b-lora: direct link, hf CLI and curl.
- Browser
- Download file 606 Bytes
-
https://huggingface.co/mole-code/langchain-starcoderbase-1b-lora/resolve/main/adapter_config.json
- Command line
-
hf download hf://mole-code/langchain-starcoderbase-1b-lora/adapter_config.json
-
curl -L -o adapter_config.json https://huggingface.co/mole-code/langchain-starcoderbase-1b-lora/resolve/main/adapter_config.json
606 Bytes
| { | |
| "alpha_pattern": {}, | |
| "auto_mapping": null, | |
| "base_model_name_or_path": "bigcode/starcoderbase-1b", | |
| "bias": "none", | |
| "fan_in_fan_out": false, | |
| "inference_mode": true, | |
| "init_lora_weights": true, | |
| "layers_pattern": null, | |
| "layers_to_transform": null, | |
| "loftq_config": {}, | |
| "lora_alpha": 16, | |
| "lora_dropout": 0.05, | |
| "megatron_config": null, | |
| "megatron_core": "megatron.core", | |
| "modules_to_save": null, | |
| "peft_type": "LORA", | |
| "r": 8, | |
| "rank_pattern": {}, | |
| "revision": null, | |
| "target_modules": [ | |
| "c_attn" | |
| ], | |
| "task_type": "CAUSAL_LM", | |
| "use_dora": false, | |
| "use_rslora": false | |
| } |