Instructions to use Codemaster67/OLMO_Smiles_aware_tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Codemaster67/OLMO_Smiles_aware_tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Codemaster67/OLMO_Smiles_aware_tokenizer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 480 Bytes
f6eb1d8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": null,
"clean_up_tokenization_spaces": true,
"eos_token": "<|endoftext|>",
"errors": "replace",
"extra_special_tokens": [
"<|start_of_smiles|>",
"<|end_of_smiles|>"
],
"is_local": false,
"local_files_only": false,
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<|padding|>",
"tokenizer_class": "GPTNeoXTokenizer",
"trim_offsets": true,
"unk_token": null
}
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