Instructions to use anlausch/aq_bert_ibm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anlausch/aq_bert_ibm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anlausch/aq_bert_ibm")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anlausch/aq_bert_ibm") model = AutoModelForSequenceClassification.from_pretrained("anlausch/aq_bert_ibm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload eval_results.txt
Browse files- eval_results.txt +1 -0
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overall = {'mae': 0.24716136, 'mse': 0.10278629, 'pearsonr': 0.5375631329078169, 'pearsonp': 9.782965560237686e-240}
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