Instructions to use finiteautomata/bertweet-base-emotion-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use finiteautomata/bertweet-base-emotion-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="finiteautomata/bertweet-base-emotion-analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("finiteautomata/bertweet-base-emotion-analysis") model = AutoModelForSequenceClassification.from_pretrained("finiteautomata/bertweet-base-emotion-analysis", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (849c02fb95879a3f4e41fcef583d9fa1d96c37aa) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>c482c9e
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Update README.md
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Update README.md
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Create README.md
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Update model
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Enhance training
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initial commit
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