Instructions to use Akirami/telugu_llama2_tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Akirami/telugu_llama2_tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Akirami/telugu_llama2_tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from Akirami/telugu_llama2_tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 691 kB
-
https://huggingface.co/Akirami/telugu_llama2_tokenizer/resolve/main/tokenizer.model
- Command line
-
hf download hf://Akirami/telugu_llama2_tokenizer/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/Akirami/telugu_llama2_tokenizer/resolve/main/tokenizer.model
691 kB
- Xet hash:
- a78ebfe869ac05e939162664945fd674019c39fca98908ec0ab3248805cf978a
- Size of remote file:
- 691 kB
- SHA256:
- 8f2bcec35622830271866a1c8ed07d2da6485e440a6708682e71ae1cb04dad39
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