Instructions to use TRI-ML/DCLM-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TRI-ML/DCLM-1B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TRI-ML/DCLM-1B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload 4 files
Browse files- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- vocab.json +0 -0
special_tokens_map.json
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{"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}
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tokenizer.json
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tokenizer_config.json
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{"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "tokenizer_class": "GPTNeoXTokenizer"}
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vocab.json
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