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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): c20cfe2
Training in progress, step 500
Browse files
pytorch_model.bin
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