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
| { | |
| "model_type": "bert", | |
| "architectures": ["BertModel"], | |
| "training_note": "" | |
| } | |