Instructions to use LnL-AI/dbrx-base-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LnL-AI/dbrx-base-tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LnL-AI/dbrx-base-tokenizer", device_map="auto") - Transformers.js
How to use LnL-AI/dbrx-base-tokenizer with Transformers.js:
// ⚠️ Unknown pipeline tag
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 391b067f4ef562e02b040b31049639a45c9a8e4293c7dcb62ca414114ea9248b
- Size of remote file:
- 4.24 MB
- SHA256:
- a974ee932171faced419ceee9a4f8e7de782c4bbae3884a69bb5df59080e92e6
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