Instructions to use nrnmnrn/NTCIR-Boosting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nrnmnrn/NTCIR-Boosting with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nrnmnrn/NTCIR-Boosting")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nrnmnrn/NTCIR-Boosting") model = AutoModelForSequenceClassification.from_pretrained("nrnmnrn/NTCIR-Boosting") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:80eed4a46a5db9a12714c6d7da429421e3eb7307ccb4f97e830ce12c56d9266f
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size 409104432
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