Instructions to use Presto-Design/llm_adapter_vectorizer_qwen7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Presto-Design/llm_adapter_vectorizer_qwen7b with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Presto-Design/llm_adapter_vectorizer_qwen7b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Presto-Design/llm_adapter_vectorizer_qwen7b: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Presto-Design/llm_adapter_vectorizer_qwen7b/resolve/main/tokenizer.json
- Command line
-
hf download hf://Presto-Design/llm_adapter_vectorizer_qwen7b/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Presto-Design/llm_adapter_vectorizer_qwen7b/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- db0433e887f7889317460af0e43c449f9e79df120d1b30ee7142aee640c03929
- Size of remote file:
- 11.4 MB
- SHA256:
- 4076e9bd786c9c3137780c6e4bc591519fd4e31e8429542d20538a9927a3ed4d
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