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Claudius7
/
cs546-adv-nlp-hw1-duozhou2

Text Classification
Transformers
Safetensors
English
bert
text-embeddings-inference
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xet
 Community
How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="Claudius7/cs546-adv-nlp-hw1-duozhou2")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("Claudius7/cs546-adv-nlp-hw1-duozhou2")
model = AutoModelForSequenceClassification.from_pretrained("Claudius7/cs546-adv-nlp-hw1-duozhou2")
Quick Links

IMDB Sentiment for UIUC CS546

  • Base: sentence-transformers/all-MiniLM-L6-v2
  • Task: binary sentiment (neg/pos)
  • Train epochs: 5
  • LR: 2e-05
  • Labels: {0: 'neg', 1: 'pos'}
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Model size
22.7M params
Tensor type
F32
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Model tree for Claudius7/cs546-adv-nlp-hw1-duozhou2

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Dataset used to train Claudius7/cs546-adv-nlp-hw1-duozhou2