Instructions to use rose-e-wang/multimodalMaterials_a6000_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rose-e-wang/multimodalMaterials_a6000_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rose-e-wang/multimodalMaterials_a6000_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rose-e-wang/multimodalMaterials_a6000_3") model = AutoModelForSequenceClassification.from_pretrained("rose-e-wang/multimodalMaterials_a6000_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b29bfced989b059aadb56092fc895f3a2373d70b3ad82061b5e9ea82fff4819
- Size of remote file:
- 4.09 kB
- SHA256:
- 65f785ad64889df100c317cd8b1500a0f362bf2942f65dc975d83bc8a1e49173
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