Instructions to use xTimeCrystal/U32k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xTimeCrystal/U32k with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("xTimeCrystal/U32k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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A 32,768-id byte-level Unigram tokenizer (HuggingFace `tokenizers` format, ByteLevel
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pre-tokenizer and decoder) with 256 control tokens and 32,512 learned pieces. English-first,
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# U32k: 32k byte-level Unigram tokenizer
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A 32,768-id byte-level Unigram tokenizer (HuggingFace `tokenizers` format, ByteLevel
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pre-tokenizer and decoder) with 256 control tokens and 32,512 learned pieces. English-first,
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