Text Generation
Adapters
gpt2
text-generation-inference
chemistry
finance
legal
biology
music
climate
medical
code
art
Merge
Instructions to use speedartificialintelligence1122/speedcore with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use speedartificialintelligence1122/speedcore with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("speedartificialintelligence1122/speedcore", set_active=True) - Notebooks
- Google Colab
- Kaggle
Create config.json
Browse files- config.json +14 -0
config.json
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{
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"architectures": [
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"GPT2LMHeadModel"
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],
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"model_type": "gpt2",
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"n_ctx": 2048,
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"n_embd": 768,
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"n_head": 12,
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"n_layer": 12,
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"vocab_size": 50257,
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"bos_token_id": 0,
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"eos_token_id": 0,
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"pad_token_id": 0
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}
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