Instructions to use Leonardolin/NTCIR_att_sup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Leonardolin/NTCIR_att_sup with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Leonardolin/NTCIR_att_sup")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Leonardolin/NTCIR_att_sup") model = AutoModelForSequenceClassification.from_pretrained("Leonardolin/NTCIR_att_sup", device_map="auto") - 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 sha256:1af159ae4b60c708878aed8ac264f288a2d74757e0e9d8b73410b66538c8cd73
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size 409104432
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