Text Generation
PEFT
Safetensors
English
gherkin
bdd
test-automation
cucumber
lora
deepseek
conversational
Instructions to use Ghaythfd/gherkin-deepseek-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ghaythfd/gherkin-deepseek-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-6.7b-instruct") model = PeftModel.from_pretrained(base_model, "Ghaythfd/gherkin-deepseek-lora") - Notebooks
- Google Colab
- Kaggle
| {% if not add_generation_prompt is defined %} | |
| {% set add_generation_prompt = false %} | |
| {% endif %} | |
| {%- set ns = namespace(found=false) -%} | |
| {%- for message in messages -%} | |
| {%- if message['role'] == 'system' -%} | |
| {%- set ns.found = true -%} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {{bos_token}}{%- if not ns.found -%} | |
| {{'You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer\n'}} | |
| {%- endif %} | |
| {%- for message in messages %} | |
| {%- if message['role'] == 'system' %} | |
| {{ message['content'] }} | |
| {%- else %} | |
| {%- if message['role'] == 'user' %} | |
| {{'### Instruction:\n' + message['content'] + '\n'}} | |
| {%- else %} | |
| {{'### Response:\n' + message['content'] + '\n<|EOT|>\n'}} | |
| {%- endif %} | |
| {%- endif %} | |
| {%- endfor %} | |
| {% if add_generation_prompt %} | |
| {{'### Response:'}} | |
| {% endif %} |