Instructions to use huihui-ai/Huihui-HY-MT1.5-1.8B-abliterated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huihui-ai/Huihui-HY-MT1.5-1.8B-abliterated with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="huihui-ai/Huihui-HY-MT1.5-1.8B-abliterated")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("huihui-ai/Huihui-HY-MT1.5-1.8B-abliterated", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 654 Bytes
2fa39a6 | 1 | {% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}<|hy_begin▁of▁sentence|>{{ system_message }}<|hy_place▁holder▁no▁3|>{% else %}{% set loop_messages = messages %}<|hy_begin▁of▁sentence|>{% endif %}{% for message in loop_messages %}{% if message['role'] == 'user' %}<|hy_User|>{{ message['content'] }}{% elif message['role'] == 'assistant' %}<|hy_Assistant|>{{ message['content'] }}<|hy_place▁holder▁no▁2|>{% endif %}{% endfor %}{% if add_generation_prompt %}<|hy_Assistant|>{% else %}<|hy_place▁holder▁no▁8|>{% endif %} |