Instructions to use Anonymous/ReasonBERT-RoBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anonymous/ReasonBERT-RoBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Anonymous/ReasonBERT-RoBERTa")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Anonymous/ReasonBERT-RoBERTa") model = AutoModel.from_pretrained("Anonymous/ReasonBERT-RoBERTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f72f0d056d306dffa92d601cbfa57681e2ca5b902551d72a499a51ce3618a44d
- Size of remote file:
- 499 MB
- SHA256:
- b8ae6721b7569fe3690534cd09fc8b45b67e3f795e123c16588f822d11fccefe
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