Instructions to use Xenova/Nemotron-4-340B-Instruct-Tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xenova/Nemotron-4-340B-Instruct-Tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Xenova/Nemotron-4-340B-Instruct-Tokenizer", dtype="auto") - Transformers.js
How to use Xenova/Nemotron-4-340B-Instruct-Tokenizer with Transformers.js:
// ⚠️ Unknown pipeline tag
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c29c6f9fdeb5f2c7775fa7de205f76282d01ee4a373669e894cbf498f7830e0
- Size of remote file:
- 21.9 MB
- SHA256:
- cf6ac4271cd566ddd5cb6e1675a2457bacce5e683b30b35f9668377b36ca2628
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