Instructions to use taetae77/my-action-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taetae77/my-action-tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("taetae77/my-action-tokenizer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer metadata
Browse files- metadata.json +6 -6
metadata.json
CHANGED
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@@ -1,5 +1,5 @@
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{
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"repo_id": "taetae77/
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"vocab_size": 1024,
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"scale": 10.0,
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"encoded_dims": "0:6",
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@@ -16,12 +16,12 @@
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"state_key": "observation.state",
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"normalization_mode": "QUANTILES",
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"action_horizon": 10,
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"num_training_chunks":
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"compression_stats": {
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"compression_ratio": 9.
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"mean_token_length": 6.
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"p99_token_length":
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"min_token_length": 2.0,
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"max_token_length":
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}
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}
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{
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"repo_id": "taetae77/bi_red_tomato",
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"vocab_size": 1024,
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"scale": 10.0,
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"encoded_dims": "0:6",
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"state_key": "observation.state",
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"normalization_mode": "QUANTILES",
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"action_horizon": 10,
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"num_training_chunks": 14960,
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"compression_stats": {
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"compression_ratio": 9.561752988047807,
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"mean_token_length": 6.275,
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"p99_token_length": 15.0,
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"min_token_length": 2.0,
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"max_token_length": 19.0
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}
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}
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