Instructions to use Time-HD-Anonymous/STReasoner-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Time-HD-Anonymous/STReasoner-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Time-HD-Anonymous/STReasoner-8B", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Time-HD-Anonymous/STReasoner-8B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bdf2fe396e9a71d8f29b528425c138e6140666ce183fcfce04f3e942e486570
- Size of remote file:
- 11.4 MB
- SHA256:
- f58249c804f02dc95986d90822c6ca889b91cfdd40befa5066ff7d50fce80342
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