Instructions to use ibm-research/ColD-Fusion-itr22-seed2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-research/ColD-Fusion-itr22-seed2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ibm-research/ColD-Fusion-itr22-seed2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ibm-research/ColD-Fusion-itr22-seed2") model = AutoModelForSequenceClassification.from_pretrained("ibm-research/ColD-Fusion-itr22-seed2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
pull request
Browse files
README.md
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## Evaluation results
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When fine-tuned on downstream tasks, this model achieves the following results:
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## Evaluation results
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