Instructions to use reallycarlaost/emobert-single-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reallycarlaost/emobert-single-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="reallycarlaost/emobert-single-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("reallycarlaost/emobert-single-binary") model = AutoModelForSequenceClassification.from_pretrained("reallycarlaost/emobert-single-binary") - Notebooks
- Google Colab
- Kaggle
Commit ·
331deac
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Parent(s): 614837c
Upload tokenizer_config.json
Browse files- tokenizer_config.json +3 -0
tokenizer_config.json
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"do_lower_case": false
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