|
--- |
|
license: apache-2.0 |
|
datasets: |
|
- daven3/geosignal |
|
language: |
|
- en |
|
--- |
|
|
|
# Adapter Model in K2 |
|
|
|
## Quick Start |
|
|
|
**After deploying the model [k2_fp_delta](https://huggingface.co/daven3/k2_fp_delta), we need to use the `PEFT` API from `transformers` to load the entire K2!** |
|
|
|
```python |
|
base_model = /path/to/geollama |
|
lora_weights = /path/to/adapter/model |
|
tokenizer = LlamaTokenizer.from_pretrained(base_model) |
|
model = LlamaForCausalLM.from_pretrained( |
|
base_model, |
|
load_in_8bit=load_8bit, |
|
device_map=device_map |
|
torch_dtype=torch.float16 |
|
) |
|
model = PeftModel.from_pretrained( |
|
model, |
|
lora_weights, |
|
torch_dtype=torch.float16, |
|
device_map=device_map, |
|
) |
|
model.config.pad_token_id = tokenizer.pad_token_id = 0 |
|
model.config.bos_token_id = 1 |
|
model.config.eos_token_id = 2 |
|
``` |
|
|
|
|
|
|
