Instructions to use MuneK/roberta-base-japanese-finetuned-wrime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MuneK/roberta-base-japanese-finetuned-wrime with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MuneK/roberta-base-japanese-finetuned-wrime")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MuneK/roberta-base-japanese-finetuned-wrime") model = AutoModelForSequenceClassification.from_pretrained("MuneK/roberta-base-japanese-finetuned-wrime", 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:e23ae25de921e660769fc1038c3722cf81a64075f1f68c89116c56b2938eb8c2
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size 442524272
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