Instructions to use leoh/roberta-base-8196 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leoh/roberta-base-8196 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="leoh/roberta-base-8196")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("leoh/roberta-base-8196") model = AutoModel.from_pretrained("leoh/roberta-base-8196") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5997354c403b0f4a92cb8d1f408828d69962fc4198f4a8b8082fa1cd90aea5b4
- Size of remote file:
- 522 MB
- SHA256:
- 3dc72d2ed496c8b60e9823e0c3f3d5d5673d97ecc837408e8f5cdc5109fdb9a6
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