28 lines
1.1 KiB
Python
28 lines
1.1 KiB
Python
from text_generation.models.model import Model
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from text_generation.models.causal_lm import CausalLM
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from text_generation.models.bloom import BLOOMSharded
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from text_generation.models.seq2seq_lm import Seq2SeqLM
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from text_generation.models.galactica import Galactica, GalacticaSharded
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__all__ = ["Model", "BLOOMSharded", "CausalLM", "Seq2SeqLM"]
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def get_model(model_name: str, sharded: bool, quantize: bool) -> Model:
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if model_name.startswith("bigscience/bloom"):
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if sharded:
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return BLOOMSharded(model_name, quantize=quantize)
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else:
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return CausalLM(model_name, quantize=quantize)
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elif model_name.startswith("facebook/galactica"):
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if sharded:
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return GalacticaSharded(model_name, quantize=quantize)
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else:
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return Galactica(model_name, quantize=quantize)
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else:
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if sharded:
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raise ValueError("sharded is not supported for AutoModel")
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try:
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return CausalLM(model_name, quantize=quantize)
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except Exception as e:
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return Seq2SeqLM(model_name, quantize=quantize)
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