Instructions to use M4rt0no/Tokenizer-Priorizacion-v2_batch32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use M4rt0no/Tokenizer-Priorizacion-v2_batch32 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("M4rt0no/Tokenizer-Priorizacion-v2_batch32", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from M4rt0no/Tokenizer-Priorizacion-v2_batch32: direct link, hf CLI and curl.
- Browser
- Download file 730 kB
-
https://huggingface.co/M4rt0no/Tokenizer-Priorizacion-v2_batch32/resolve/main/tokenizer.json
- Command line
-
hf download hf://M4rt0no/Tokenizer-Priorizacion-v2_batch32/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/M4rt0no/Tokenizer-Priorizacion-v2_batch32/resolve/main/tokenizer.json
730 kB
File too large to display, you can check the raw version instead.