Instructions to use Mayank6255/SwarmFormer-small-ef with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mayank6255/SwarmFormer-small-ef with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mayank6255/SwarmFormer-small-ef")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Mayank6255/SwarmFormer-small-ef", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload 2 files
Browse files- config.json +1 -0
- swarformer_model.bin +3 -0
config.json
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{"d_model": 128, "num_layers": 2, "seq_len": 256, "batch_size": 128, "learning_rate": 0.000474, "weight_decay": 0.0381, "epochs": 8}
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swarformer_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c4d9cb7c41d050401deb6ebd4e112cb3a6c424f3b9c399636ad15d74c5ba0a7f
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size 16850592
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