Instructions to use dleon/roberta-imbd-sentiment-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dleon/roberta-imbd-sentiment-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dleon/roberta-imbd-sentiment-ft")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dleon/roberta-imbd-sentiment-ft") model = AutoModelForSequenceClassification.from_pretrained("dleon/roberta-imbd-sentiment-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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datasets:
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- jahjinx/IMDb_movie_reviews
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base_model:
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# Model Card for Model ID
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## Model Details
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View the model training Colab: https://colab.research.google.com/drive/
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### Model Description
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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datasets:
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- jahjinx/IMDb_movie_reviews
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base_model:
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- FacebookAI/roberta-base
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# Model Card for Model ID
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## Model Details
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View the model training Colab: https://colab.research.google.com/drive/15yk22pVH2hYETdmG8cD5EFqciIf3550o?usp=sharing
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### Model Description
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RoBERTa fine-tuned for sentiment analysis on the imdb movie reviews for 3 epochs.
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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