Instructions to use docketanalyzer/distilroberta-base-ddlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use docketanalyzer/distilroberta-base-ddlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="docketanalyzer/distilroberta-base-ddlm")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("docketanalyzer/distilroberta-base-ddlm") model = AutoModel.from_pretrained("docketanalyzer/distilroberta-base-ddlm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f19f0c1110bbe26663ee708df0f5e518c13539fcbed33ee3a8d4606a7d546d80
- Size of remote file:
- 329 MB
- SHA256:
- 420c240c7c720ebf84cbcb255f29df571dfb5cff52c9e299f1424d7a9a938060
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