Instructions to use AFZAL0008/corrected_tokenizer_hackthon2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AFZAL0008/corrected_tokenizer_hackthon2.0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AFZAL0008/corrected_tokenizer_hackthon2.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from AFZAL0008/corrected_tokenizer_hackthon2.0: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/AFZAL0008/corrected_tokenizer_hackthon2.0/resolve/main/tokenizer.json
- Command line
-
hf download hf://AFZAL0008/corrected_tokenizer_hackthon2.0/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/AFZAL0008/corrected_tokenizer_hackthon2.0/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 3a9f79341e59a7f49fb1ea3af37914ec4875ab847390b657b7e9f6bf51edc938
- Size of remote file:
- 16.3 MB
- SHA256:
- 65c2d7defb6472fada8a935bb364ae3433f7451780c8a59ab6b3cfbaadb32608
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