Instructions to use goodgoals/Llythos_Tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use goodgoals/Llythos_Tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("goodgoals/Llythos_Tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use goodgoals/Llythos_Tokenizer with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for goodgoals/Llythos_Tokenizer to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for goodgoals/Llythos_Tokenizer to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for goodgoals/Llythos_Tokenizer to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="goodgoals/Llythos_Tokenizer", max_seq_length=2048, )
| {% 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 %}{{ '<|begin_of_text|>' + content }}{% else %}{{ content }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|> | |
| ' }}{% endif %} |