Instructions to use maegancp/finetuning-sentiment-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maegancp/finetuning-sentiment-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="maegancp/finetuning-sentiment-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("maegancp/finetuning-sentiment-model") model = AutoModelForSequenceClassification.from_pretrained("maegancp/finetuning-sentiment-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
finetuned the "distilbert-base-uncased" model using the "mteb/tweet_sentiment_extraction" dataset
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