Instructions to use kundank/dspt-roberta-base-discovery with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kundank/dspt-roberta-base-discovery with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="kundank/dspt-roberta-base-discovery")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kundank/dspt-roberta-base-discovery") model = AutoModel.from_pretrained("kundank/dspt-roberta-base-discovery", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7104eb11b760e3f9de45591808fe22b7f15ce57d77f5e907a893772b5c8a1c83
- Size of remote file:
- 499 MB
- SHA256:
- fc80c1d736a71dc1f4c4d16f37fdecf3c9325ea63fde53a0b83bbc8bf9c37d66
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