Instructions to use hbpkillerX/gemma3-100m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hbpkillerX/gemma3-100m with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hbpkillerX/gemma3-100m", dtype="auto") - Notebooks
- Google Colab
- Kaggle
token length
Browse files- tokenizer_config.json +1 -0
tokenizer_config.json
CHANGED
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@@ -51334,6 +51334,7 @@
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| 51334 |
"image_token": "<image_soft_token>"
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| 51335 |
},
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| 51336 |
"image_token": "<image_soft_token>",
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| 51337 |
"model_max_length": 1000000000000000019884624838656,
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| 51338 |
"pad_token": "<pad>",
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| 51339 |
"padding_side": "left",
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| 51334 |
"image_token": "<image_soft_token>"
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| 51335 |
},
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| 51336 |
"image_token": "<image_soft_token>",
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+
"max_length": 128,
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| 51338 |
"model_max_length": 1000000000000000019884624838656,
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| 51339 |
"pad_token": "<pad>",
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| 51340 |
"padding_side": "left",
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