Instructions to use TerryPei/CL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TerryPei/CL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="TerryPei/CL", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("TerryPei/CL") model = AutoModel.from_pretrained("TerryPei/CL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- abd027fc7c9c61769ffe2b22dc5d3c4c4b68931ecc3acc1618f8cc2562d25b32
- Size of remote file:
- 499 MB
- SHA256:
- 382311ed0d59ed8a92ad8d1b544d7e4a67b18cc2a2fccbe35a12e6671dfa2a0a
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