Instructions to use FIM4Science/fim-imp-temporal-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FIM4Science/fim-imp-temporal-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="FIM4Science/fim-imp-temporal-base", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FIM4Science/fim-imp-temporal-base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9dfe49d7144df96ad399824b42ebbd2f668df5e1beac6b6c2634be9ce4651303
- Size of remote file:
- 106 MB
- SHA256:
- 5962dbd48720341ca46f49ad99a78b94c0b9ac103532b04a1835cb32918a8c6d
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