# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("nam194/sentiment")
model = AutoModelForSequenceClassification.from_pretrained("nam194/sentiment", device_map="auto")Quick Links
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Check out the documentation for more information.
Sentiment Analysis + Topic classification
- Data: public review of anonymous user about companies
- Model: PhoBert
- Pipeline: Text classification + NER
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nam194/sentiment")