Text Generation
PEFT
Safetensors
English
h2oai
causal-lm
adhd
cpt-ii
clinical-assistant
conversational
Instructions to use monkwarrior08/adhd-cpt-analyst with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use monkwarrior08/adhd-cpt-analyst with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("h2oai/h2o-danube3-500m-chat") model = PeftModel.from_pretrained(base_model, "monkwarrior08/adhd-cpt-analyst") - Notebooks
- Google Colab
- Kaggle
| {% for message in messages %}{% if message['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% if ((message['role'] == 'user') != (loop.index0 % 2 == 0)) or ((message['role'] == 'assistant') != (loop.index0 % 2 == 1)) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '<|prompt|>' + message['content'].strip() + eos_token }}{% elif message['role'] == 'assistant' %}{{ '<|answer|>' + message['content'].strip() + eos_token }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|answer|>' }}{% endif %} |