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README.md
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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Transform the text into emotions
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## Model Details
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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base_model:
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- SamLowe/roberta-base-go_emotions
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datasets:
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- mteb/tweet_sentiment_extraction
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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from transformers import AutoModelForSequenceClassification
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from transformers import AutoTokenizer
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import torch
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[More Information Needed]
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Use the code below to get started with the model.
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model2 = AutoModelForSequenceClassification.from_pretrained("Caseyishere/StoryCraft", num_labels=5)
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[More Information Needed]
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## Training Details
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