Instructions to use ahnaf702/SentibertLarge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahnaf702/SentibertLarge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ahnaf702/SentibertLarge")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ahnaf702/SentibertLarge") model = AutoModelForSequenceClassification.from_pretrained("ahnaf702/SentibertLarge", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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library_name: transformers
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# Model Card for Model ID
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library_name: transformers
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tags:
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- sentiment_analysis
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license: apache-2.0
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metrics:
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- accuracy
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pipeline_tag: text-classification
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# Model Card for Model ID
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