Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Sharpaxis/Sentiment_tweets_distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sharpaxis/Sentiment_tweets_distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sharpaxis/Sentiment_tweets_distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sharpaxis/Sentiment_tweets_distilbert") model = AutoModelForSequenceClassification.from_pretrained("Sharpaxis/Sentiment_tweets_distilbert") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
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---
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license: apache-2.0
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datasets:
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- dair-ai/emotion
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language:
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- en
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metrics:
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- accuracy
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base_model:
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- distilbert/distilbert-base-uncased
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pipeline_tag: text-classification
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---
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