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
- Xet hash:
- 9797352c46d156db5914ad9996e9bc65420127dcdc9e002eb8ef6338c6514928
- Size of remote file:
- 35 Bytes
- SHA256:
- fdbadbba4530f71cbe18e291a4f89631b9ce4446bca00f9c4432fb628299da51
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