Instructions to use ibm-research/ColD-Fusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-research/ColD-Fusion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ibm-research/ColD-Fusion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ibm-research/ColD-Fusion") model = AutoModelForSequenceClassification.from_pretrained("ibm-research/ColD-Fusion") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fdfee7699a7b705b38c6c60fd2afe9680ed0c4f97af38619712cd40ad7c8e293
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size 498620100
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