Instructions to use toolathlonEval/SparseTieModel-TestRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toolathlonEval/SparseTieModel-TestRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="toolathlonEval/SparseTieModel-TestRepo")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("toolathlonEval/SparseTieModel-TestRepo") model = AutoModel.from_pretrained("toolathlonEval/SparseTieModel-TestRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 84 Bytes
5b22005 | 1 2 3 4 5 6 | {
"model_type": "bert",
"architectures": ["BertModel"],
"training_note": ""
}
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