Instructions to use DRAGOO/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DRAGOO/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="DRAGOO/model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("DRAGOO/model") model = AutoModel.from_pretrained("DRAGOO/model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82be51fa1d1f5c377bacf010cee3cbfea26c97703800b1b5d053c17c71b0f187
- Size of remote file:
- 438 MB
- SHA256:
- aea031a6808a8d8e6b07f9e818f08cb76c1db590ab4cf4d09ef5ae362d70f89f
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