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Manual eos_token implementation

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oobabooga 2023-01-18 22:57:39 -03:00
parent 3cb30bed0a
commit 116299b3ad
1 changed files with 3 additions and 7 deletions
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10
server.py
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@ -142,16 +142,12 @@ def generate_reply(question, tokens, inference_settings, selected_model, eos_tok
input_ids = encode(question, 1)
preset = preset.replace('max_new_tokens=tokens', 'max_new_tokens=1')
cuda = "" if args.cpu else ".cuda()"
if eos_token is not None:
n = tokenizer.encode(eos_token, return_tensors='pt')[0][-1]
for i in range(tokens):
if eos_token is None:
output = eval(f"model.generate(input_ids, {preset}){cuda}")
else:
output = eval(f"model.generate(input_ids, eos_token_id={n}, {preset}){cuda}")
output = eval(f"model.generate(input_ids, {preset}){cuda}")
reply = tokenizer.decode(output[0], skip_special_tokens=True)
reply = reply.replace(r'<|endoftext|>', '')
if eos_token is not None and reply[-1] == eos_token:
break
if model_name.lower().startswith('galactica'):
reply = fix_galactica(reply)
yield reply, reply, generate_basic_html(reply)