Instructions to use FIM4Science/fim-imp-pointwise-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FIM4Science/fim-imp-pointwise-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="FIM4Science/fim-imp-pointwise-base", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FIM4Science/fim-imp-pointwise-base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22f1aabb89e37cb367856c600aaa46147c0c0e56686c7c4b53efab13be8665b2
- Size of remote file:
- 80.9 MB
- SHA256:
- 390ba4c13f24e8f0c2d8cfca6565cbcd2c34928f0be8fe61647144bfc2df2834
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