Instructions to use facebook/dragon-roberta-context-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/dragon-roberta-context-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook/dragon-roberta-context-encoder")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("facebook/dragon-roberta-context-encoder") model = AutoModelForMaskedLM.from_pretrained("facebook/dragon-roberta-context-encoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d458660e23f6ec605cf84d3faa1a8de160d75c8a5f73c1f4417d1365efb63a9f
- Size of remote file:
- 499 MB
- SHA256:
- fae4ee0a7b18501b58522f389d08edb40fccb54f08128e80cd0eb3abbd3b3c77
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