Instructions to use archinetai/autoencoder1d-AT-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use archinetai/autoencoder1d-AT-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="archinetai/autoencoder1d-AT-v1", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("archinetai/autoencoder1d-AT-v1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 9f73bcc
Upload config
Browse files- config.json +1 -6
config.json
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{
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"architectures": [
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"AutoEncoder1d"
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],
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"auto_map": {
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"AutoConfig": "autoencoder_config.AutoEncoder1dConfig"
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"AutoModel": "autoencoder.AutoEncoder1d"
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"bottleneck": "tanh",
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"channels": 32,
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],
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"patch_size": 4,
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"torch_dtype": "float32",
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"transformers_version": "4.24.0"
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}
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{
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"auto_map": {
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"AutoConfig": "autoencoder_config.AutoEncoder1dConfig"
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"bottleneck": "tanh",
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"channels": 32,
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],
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"patch_size": 4,
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"transformers_version": "4.24.0"
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}
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