Created
October 20, 2021 15:47
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import time | |
from txtai.pipeline import Labels | |
# Create labels instances per model type | |
tflabels = Labels(train("microsoft/xtremedistil-l6-h384-uncased", ds["train"], logging_steps=2000), dynamic=False) | |
thlabels = Labels((model, tokenizer), dynamic=False) | |
thlabels.pipeline.model.config.id2label = {0: "sadness", 1: "joy", 2: "love", 3: "anger", 4: "fear", 5: "surprise"} | |
sklabels = Labels((skmodel, tokenize), dynamic=False) | |
sklabels.pipeline.model.config.id2label = {0: "sadness", 1: "joy", 2: "love", 3: "anger", 4: "fear", 5: "surprise"} | |
# Test inputs | |
inputs = ds["test"]["text"] | |
print("Testing speed of %d items" % len(inputs)) | |
start = time.time() | |
tflabels(inputs) | |
print("Transformers time =", time.time() - start) | |
start = time.time() | |
thlabels(inputs) | |
print("PyTorch time =", time.time() - start) | |
start = time.time() | |
sklabels(inputs, multilabel=None) | |
print("TF-IDF + Logistic Regression time =", time.time() - start) |
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