Instructions to use Quivr/claude-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Quivr/claude-tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Quivr/claude-tokenizer", device_map="auto") - Transformers.js
How to use Quivr/claude-tokenizer with Transformers.js:
// ⚠️ Unknown pipeline tag
- Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<EOT>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<EOT>", | |
| "model_max_length": 200000, | |
| "tokenizer_class": "GPT2TokenizerFast", | |
| "unk_token": "<EOT>" | |
| } |