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="Robertuus/Crypto_Sentiment_Analysis_Bert")
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("Robertuus/Crypto_Sentiment_Analysis_Bert")
model = AutoModelForSequenceClassification.from_pretrained("Robertuus/Crypto_Sentiment_Analysis_Bert", device_map="auto")
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Bert model fine-tuned to analyze the sentiment of messages, LABEL_0 is positive and LABEL_1 is negative.

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