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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tocsa/llama2-7b-chipdesign-domain-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Domain-adapted tokenizer (chip-design vocab extension over the Llama-2 tokenizer, see 02_custom_tokenizer_training). Final high-frequency-filtered tokenizer (tokenizer_freq.model).
Inference Providers NEW
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Model tree for tocsa/llama2-7b-chipdesign-domain-tokenizer
Base model
meta-llama/Llama-2-7b-hf