Text Classification
Transformers
TensorFlow
English
distilbert
text classification
transformer
sentiment analysis
TensorFlow
text-embeddings-inference
Instructions to use dancingninjas/sentiment-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dancingninjas/sentiment-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dancingninjas/sentiment-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dancingninjas/sentiment-model") model = AutoModelForSequenceClassification.from_pretrained("dancingninjas/sentiment-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 182 Bytes
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license: apache-2.0
datasets:
- imdb
language:
- en
pipeline_tag: text-classification
tags:
- text classification
- transformer
- sentiment analysis
- distilbert
- TensorFlow
--- |