Instructions to use tobiges/behavior_fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tobiges/behavior_fast with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tobiges/behavior_fast", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload processor
Browse files- processing_action_tokenizer.py +3 -3
- processor_config.json +1 -1
- tokenizer.json +0 -0
processing_action_tokenizer.py
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@@ -159,14 +159,14 @@ class UniversalActionProcessor(ProcessorMixin):
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tokenizer.decoder = decoders.ByteLevel()
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tokenizer.post_processor = processors.ByteLevel(trim_offsets=False)
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alphabet = [chr(i) for i in range(256)]
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trainer = BpeTrainer(
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vocab_size=vocab_size,
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min_frequency=2,
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show_progress=True,
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special_tokens=[],
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-
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initial_alphabet=alphabet,
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# max_token_length=256,
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max_token_length=10_000,
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)
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tokenizer.decoder = decoders.ByteLevel()
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tokenizer.post_processor = processors.ByteLevel(trim_offsets=False)
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# alphabet = [chr(i) for i in range(256)]
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trainer = BpeTrainer(
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vocab_size=vocab_size,
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min_frequency=2,
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show_progress=True,
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special_tokens=[],
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initial_alphabet=pre_tokenizers.ByteLevel.alphabet(),
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# initial_alphabet=alphabet,
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# max_token_length=256,
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max_token_length=10_000,
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)
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processor_config.json
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@@ -7,5 +7,5 @@
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"processor_class": "UniversalActionProcessor",
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"scale": 10.0,
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"time_horizon": 50,
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"vocab_size":
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}
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"processor_class": "UniversalActionProcessor",
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"scale": 10.0,
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"time_horizon": 50,
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"vocab_size": 2048
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}
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tokenizer.json
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