Instructions to use line-corporation/clip-japanese-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use line-corporation/clip-japanese-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="line-corporation/clip-japanese-base", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("line-corporation/clip-japanese-base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31c414c395ebcac883da5897d5d7fe6266769dbbc9336710f5b94a262d4edbea
- Size of remote file:
- 348 MB
- SHA256:
- a91c5686cf47ff91c09736a8ce0f8a518001f52f63cb5ad123a0f6183e3e4ccf
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