Instructions to use mathigatti/vllm-instruct-amazon-description with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mathigatti/vllm-instruct-amazon-description with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mathigatti/vllm-instruct-amazon-description", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d2b8cca447808e22805aa65dcb9fc7a0e194a42c506583016dc54e1bcd7d078
- Size of remote file:
- 17.2 MB
- SHA256:
- abd08b46c9c01a903788030f36d9731aad064d0c420e66b88e3e143cda9e4e9a
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