Instructions to use Wootang01/roberta-large-finetuned-hkdse-english-paper4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wootang01/roberta-large-finetuned-hkdse-english-paper4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Wootang01/roberta-large-finetuned-hkdse-english-paper4")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Wootang01/roberta-large-finetuned-hkdse-english-paper4") model = AutoModelForMaskedLM.from_pretrained("Wootang01/roberta-large-finetuned-hkdse-english-paper4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdfbbab569250856f7275863e0e27a46af08bb6a24e036c0a26b5d6fe4724934
- Size of remote file:
- 1.42 GB
- SHA256:
- 4455014c06f1e6582f6746d9f0728039457202d934d06b129ac7cb715594319f
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