Text Classification
Transformers
Safetensors
English
bert
MOF
metal-organic-framework
material-science
synthesis-classification
Instructions to use noellzhao/MOF_SynthesisDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use noellzhao/MOF_SynthesisDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="noellzhao/MOF_SynthesisDetection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("noellzhao/MOF_SynthesisDetection") model = AutoModelForSequenceClassification.from_pretrained("noellzhao/MOF_SynthesisDetection") - Notebooks
- Google Colab
- Kaggle
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Model tree for noellzhao/MOF_SynthesisDetection
Base model
google-bert/bert-base-uncased