Instructions to use alexandro767/cross_encoder_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexandro767/cross_encoder_v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("alexandro767/cross_encoder_v1") model = AutoModel.from_pretrained("alexandro767/cross_encoder_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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"architectures": [
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"MyModel"
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],
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"model_type": "
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"torch_dtype": "float32",
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"transformers_version": "4.42.3"
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}
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"architectures": [
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"MyModel"
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],
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"model_type": "bert",
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"torch_dtype": "float32",
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"transformers_version": "4.42.3"
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}
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