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Merge pull request #159 from VE-FORBRYDERNE/fairseq 

Don't blacklist </s> token in "s" newline mode
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henk717 2022-06-22 17:41:20 +02:00 committed by GitHub
parent d4e18360f0 922394c68f
commit f127918114
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1 changed files with 2 additions and 2 deletions
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aiserver.py
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@ -1995,7 +1995,7 @@ def load_model(use_gpu=True, gpu_layers=None, disk_layers=None, initial_load=Fal
shutil.rmtree("cache/") shutil.rmtree("cache/")
if(vars.badwordsids is vars.badwordsids_default and vars.model_type not in ("gpt2", "gpt_neo", "gptj")): if(vars.badwordsids is vars.badwordsids_default and vars.model_type not in ("gpt2", "gpt_neo", "gptj")):
vars.badwordsids = [[v] for k, v in tokenizer.get_vocab().items() if any(c in str(k) for c in "<>[]")] vars.badwordsids = [[v] for k, v in tokenizer.get_vocab().items() if any(c in str(k) for c in "<>[]") if vars.newlinemode != "s" or str(k) != "</s>"]
patch_causallm(model) patch_causallm(model)
@ -2162,7 +2162,7 @@ def load_model(use_gpu=True, gpu_layers=None, disk_layers=None, initial_load=Fal
vars.modeldim = int(tpu_mtj_backend.params.get("d_embed", tpu_mtj_backend.params["d_model"])) vars.modeldim = int(tpu_mtj_backend.params.get("d_embed", tpu_mtj_backend.params["d_model"]))
tokenizer = tpu_mtj_backend.tokenizer tokenizer = tpu_mtj_backend.tokenizer
if(vars.badwordsids is vars.badwordsids_default and vars.model_type not in ("gpt2", "gpt_neo", "gptj")): if(vars.badwordsids is vars.badwordsids_default and vars.model_type not in ("gpt2", "gpt_neo", "gptj")):
vars.badwordsids = [[v] for k, v in tokenizer.get_vocab().items() if any(c in str(k) for c in "<>[]")] vars.badwordsids = [[v] for k, v in tokenizer.get_vocab().items() if any(c in str(k) for c in "<>[]") if vars.newlinemode != "s" or str(k) != "</s>"]
else: else:
loadsettings() loadsettings()