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")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("TerryPei/CL") model = AutoModel.from_pretrained("TerryPei/CL") - Notebooks
- Google Colab
- Kaggle
add model
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
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{
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"_name_or_path": "
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"architectures": [
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"RobertaModel"
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],
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{
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"_name_or_path": "CLEncoder/",
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"architectures": [
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"RobertaModel"
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],
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 498649201
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version https://git-lfs.github.com/spec/v1
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oid sha256:382311ed0d59ed8a92ad8d1b544d7e4a67b18cc2a2fccbe35a12e6671dfa2a0a
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size 498649201
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