Instructions to use Synthyra/ANKH3_xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/ANKH3_xl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Synthyra/ANKH3_xl", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Synthyra/ANKH3_xl", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload FastAnkhForMaskedLM
Browse files- config.json +4 -0
- model-00001-of-00003.safetensors +2 -2
- model-00002-of-00003.safetensors +2 -2
- model-00003-of-00003.safetensors +2 -2
- model.safetensors.index.json +439 -438
config.json
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"attn_backend": "sdpa",
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],
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"attn_backend": "sdpa",
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"d_kv": 64,
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"dtype": "float32",
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"eos_token_id": 1,
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"initializer_factor": 1.0,
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"layer_norm_epsilon": 1e-06,
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{
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"metadata": {
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"total_parameters": 3486110208,
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