Instructions to use finiteautomata/bertweet-base-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use finiteautomata/bertweet-base-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="finiteautomata/bertweet-base-sentiment-analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("finiteautomata/bertweet-base-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("finiteautomata/bertweet-base-sentiment-analysis", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Upload tokenizer
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Upload RobertaForSequenceClassification
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Add TF weights (#1)
- Add TF weights (c1e3b94eb5678a3432aae011152a2cf9e28b66f9) Co-authored-by: Joao Gante <joaogante@users.noreply.huggingface.co>cf6b0f6
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Update README.md
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Update README.md
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Update README.md
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Update model
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Initial model
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initial commit
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