Instructions to use anhuu/argument_classification_ibm_es_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anhuu/argument_classification_ibm_es_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anhuu/argument_classification_ibm_es_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anhuu/argument_classification_ibm_es_bert") model = AutoModelForSequenceClassification.from_pretrained("anhuu/argument_classification_ibm_es_bert") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
pytorch_model.bin
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runs/Nov12_23-34-21_d0e2141048c1/events.out.tfevents.1699832087.d0e2141048c1.351.0
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