Instructions to use avichr/heBERT_sentiment_analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use avichr/heBERT_sentiment_analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="avichr/heBERT_sentiment_analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("avichr/heBERT_sentiment_analysis") model = AutoModelForSequenceClassification.from_pretrained("avichr/heBERT_sentiment_analysis", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
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sentiment analysis (UGC) heBERT oscar-based v0.1
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large, oscar, with labels
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large,oscar, comments v0.1
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large,oscar, comments v0.1
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chars, wiki, comments v0.1
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V0.11
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V0.11.
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V0.1.
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initial commit
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