Instructions to use Gameplayer18m/grabbe-ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gameplayer18m/grabbe-ai with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Gameplayer18m/grabbe-ai", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use Gameplayer18m/grabbe-ai 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 Gameplayer18m/grabbe-ai 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 Gameplayer18m/grabbe-ai to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Gameplayer18m/grabbe-ai to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Gameplayer18m/grabbe-ai", max_seq_length=2048, )
Trained with Unsloth
Browse filesUpload model trained with Unsloth 2x faster
- special_tokens_map.json +1 -1
- tokenizer_config.json +2 -1
special_tokens_map.json
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"single_word": false
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},
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"eos_token": {
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"content": "<|
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|eot_id|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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tokenizer_config.json
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}
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},
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"bos_token": "<|begin_of_text|>",
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"clean_up_tokenization_spaces": true,
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-
"eos_token": "<|
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"model_input_names": [
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"input_ids",
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"attention_mask"
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}
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},
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"bos_token": "<|begin_of_text|>",
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"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ 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|>\n\n' }}{% endif %}",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|eot_id|>",
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"model_input_names": [
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"input_ids",
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"attention_mask"
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