Instructions to use underscore2/llama3-8b-bluesky-engagement-kto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use underscore2/llama3-8b-bluesky-engagement-kto with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("underscore2/llama3-8b-bluesky-engagement-kto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download chat_template.jinja from underscore2/llama3-8b-bluesky-engagement-kto: direct link, hf CLI and curl.
- Browser
- Download file 389 Bytes
-
https://huggingface.co/underscore2/llama3-8b-bluesky-engagement-kto/resolve/50f86c7e23f4b171bfe1dc0ff23de4eeed0ca21e/chat_template.jinja
- Command line
-
hf download hf://underscore2/llama3-8b-bluesky-engagement-kto@50f86c7e23f4b171bfe1dc0ff23de4eeed0ca21e/chat_template.jinja
-
curl -L -o chat_template.jinja https://huggingface.co/underscore2/llama3-8b-bluesky-engagement-kto/resolve/50f86c7e23f4b171bfe1dc0ff23de4eeed0ca21e/chat_template.jinja
389 Bytes
| {% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|> | |
| '+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|> | |
| ' }}{% endif %} |