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silicone-dyda-16k-8k-tokenizer
umarzein/silicone-dyda-16k-8k-tokenizer
silicone-dyda-16k-8k-tokenizer is a machine learning model from umarzein. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
the "dataset" and/or the "datasets" in this repo refers to the first 16384 rows of silicone:dydada:train dataset
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Updated Jun 14, 2023
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At a glance
- License
- mit
- Access
- Public
- Created
- Jun 14, 2023
- Updated
- Jun 14, 2023
- SHA
- fd12ae6a
Datasets
Model card
From the Hugging Face model README
the "dataset" and/or the "datasets" in this repo refers to the first 16384 rows of silicone:dyda_da:train dataset
trained over the gpt2 tokenizer, this tokenizer matches the avg #tokens/datapoint Using only 8192 vocab_size (from the base's 50257)
import transformers
tokenizer=transformers.GPT2TokenizerFast.from_pretrained("umarzein/silicone-dyda-16k-8k-tokenizer")
- License
- mit
- Created
- Jun 14, 2023
- Updated
- Jun 14, 2023