Instructions to use tocsa/llama2-7b-chipdesign-domain-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tocsa/llama2-7b-chipdesign-domain-tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tocsa/llama2-7b-chipdesign-domain-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from tocsa/llama2-7b-chipdesign-domain-tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 685 kB
-
https://huggingface.co/tocsa/llama2-7b-chipdesign-domain-tokenizer/resolve/main/tokenizer.model
- Command line
-
hf download hf://tocsa/llama2-7b-chipdesign-domain-tokenizer/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/tocsa/llama2-7b-chipdesign-domain-tokenizer/resolve/main/tokenizer.model
685 kB
- Xet hash:
- 08a64fc7ba0ad10541eabf6be8378cdb01eac15a400a5d9a61c372a66e9bc1d0
- Size of remote file:
- 685 kB
- SHA256:
- 4ce1a1839cfc46757417cc2b81b855a3c465fc29760eeffad785a22941e13c0b
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