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 +1 -1
- tokenizer.json +0 -0
processing_action_tokenizer.py
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@@ -158,7 +158,7 @@ class UniversalActionProcessor(ProcessorMixin):
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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=
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)
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tokenizer.train_from_iterator(
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_token_iter(), trainer=trainer, length=len(dct_tokens)
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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=10000,
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)
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tokenizer.train_from_iterator(
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_token_iter(), trainer=trainer, length=len(dct_tokens)
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tokenizer.json
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