Instructions to use zeronamoni/backtesting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use zeronamoni/backtesting 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 zeronamoni/backtesting 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 zeronamoni/backtesting to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for zeronamoni/backtesting to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="zeronamoni/backtesting", max_seq_length=2048, )
ver: v2_baseline | Loss: 2.0091 | PPL: 7.46 | BPC: 2.90 (Trained with Unsloth)
Browse files- special_tokens_map.json +1 -7
- tokenizer_config.json +1 -1
special_tokens_map.json
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"rstrip": false,
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"single_word": false
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},
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"pad_token":
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"content": "<|finetune_right_pad_id|>",
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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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}
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<|end_of_text|>"
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}
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tokenizer_config.json
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"attention_mask"
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],
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"model_max_length": 131072,
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"pad_token": "<|
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"padding_side": "right",
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"tokenizer_class": "PreTrainedTokenizer",
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"unk_token": null
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"attention_mask"
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],
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"model_max_length": 131072,
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"pad_token": "<|end_of_text|>",
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"padding_side": "right",
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"tokenizer_class": "PreTrainedTokenizer",
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"unk_token": null
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