Instructions to use CodeIsAbstract/HybridModelScratch_lightn_Conti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeIsAbstract/HybridModelScratch_lightn_Conti with Transformers:
# Load model directly from transformers import HybridFourierLM model = HybridFourierLM.from_pretrained("CodeIsAbstract/HybridModelScratch_lightn_Conti", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 34000
Browse files- config.json +33 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
config.json
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{
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"architectures": [
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"HybridFourierLM"
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],
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"bos_token_id": 0,
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"dropout": 0.05,
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"dtype": "float32",
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"eos_token_id": 0,
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"latent_dim": 768,
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"layer_types": [
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"linear",
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"linear",
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"linear",
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"softmax",
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"linear",
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"linear",
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"linear",
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"softmax",
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"linear",
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"linear",
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"linear",
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"softmax"
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],
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"model_type": "hybrid_fourier_lm",
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"num_layers": 12,
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"num_modes": 64,
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"pad_token_id": 1,
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"tie_word_embeddings": true,
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"time_scale": 128.0,
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"transformers_version": "5.13.0",
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"use_cache": false,
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"vocab_size": 50277
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:730a84ab942781715590be7c04cad100c356ef27ced617f53c7a7afc6f79f76e
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size 579824888
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:651f72844ade54f1175bd507f2f69a0c1cdeae4fb980af8775a3f4647e063e4d
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size 5265
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