Instructions to use KeiHeityuu/IMCS-DAC-mc-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KeiHeityuu/IMCS-DAC-mc-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KeiHeityuu/IMCS-DAC-mc-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KeiHeityuu/IMCS-DAC-mc-bert") model = AutoModelForSequenceClassification.from_pretrained("KeiHeityuu/IMCS-DAC-mc-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11c04ffc4a83ba96bda331cbd6243f84bad26d01d1598f3740afe90a76ba2992
- Size of remote file:
- 4.03 kB
- SHA256:
- 912a7c77677353077f21c7b6186eb64e5382aa6dd20ca1abe1ee6caa1e1b16c0
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