Instructions to use hsp9308/roberta-large2-epoch1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hsp9308/roberta-large2-epoch1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hsp9308/roberta-large2-epoch1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hsp9308/roberta-large2-epoch1") model = AutoModelForMaskedLM.from_pretrained("hsp9308/roberta-large2-epoch1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f670b8b1b347e218fa161e0f853143100764a27566d3b0e1d97526c85b53894b
- Size of remote file:
- 1.35 GB
- SHA256:
- 7bff803b0da29204f70238665a80d67a474ac5d03b70e72334ba3e680bebe218
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