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Description:
Analyze customer opinions, feedback, and reviews about the company software, websites, and IT services to gain insights and improve products and services
How to Use
Here is how to use this model to classify text into different categories:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model_name = "interneuronai/company_sentiment_analysis_bart"
model = AutoModelForSequenceClassification.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
def classify_text(text):
inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True, max_length=512)
outputs = model(**inputs)
predictions = outputs.logits.argmax(-1)
return predictions.item()
text = "Your text here"
print("Category:", classify_text(text))
Runs of interneuronai company_sentiment_analysis_bart on huggingface.co
9
Total runs
0
24-hour runs
2
3-day runs
2
7-day runs
1
30-day runs
More Information About company_sentiment_analysis_bart huggingface.co Model
company_sentiment_analysis_bart huggingface.co
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interneuronai company_sentiment_analysis_bart online free url in huggingface.co:
company_sentiment_analysis_bart is an open source model from GitHub that offers a free installation service, and any user can find company_sentiment_analysis_bart on GitHub to install. At the same time, huggingface.co provides the effect of company_sentiment_analysis_bart install, users can directly use company_sentiment_analysis_bart installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
company_sentiment_analysis_bart install url in huggingface.co: