ireland-news-headlines/t5_no_year/04_predict.py

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import pickle
from transformers import AutoTokenizer, AutoModel, T5ForConditionalGeneration
from tqdm import tqdm
from config import LABELS_LIST
device = 'cuda'
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model_path= 't5-retrained/checkpoint-110000'
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from transformers import AutoModelForSequenceClassification
model = T5ForConditionalGeneration.from_pretrained(model_path).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_path)
for dataset in ('dev-0', 'test-A'):
with open(f'../{dataset}/in.tsv') as f_in, open(f'../{dataset}/out.tsv','w') as f_out:
for line_in in tqdm(f_in, total=150_000):
_,_, text = line_in.split('\t')
text = text.rstrip('\n')
inputs = tokenizer(text, padding=True, truncation=True, return_tensors="pt").input_ids.to(device)
outputs = model.generate(inputs)
o = tokenizer.decode(outputs[0], skip_special_tokens=True)
o = LABELS_LIST[int(o)]
f_out.write(o + '\n')