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
Training in progress, epoch 2
Browse files
pytorch_model.bin
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runs/Aug20_07-55-07_a01e77522694/events.out.tfevents.1692518127.a01e77522694.681.0
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