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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10cf0cbd3b85352a623e91a5c814e05e3821cef0d262b2e75929ee1e7e1d78fc
- Size of remote file:
- 328 MB
- SHA256:
- ebc3b276a96456d2a2e1cf52006851f6f470710f4fad4a57f0e9275a00ec622a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.