Instructions to use HYdsl/FiLM-SEC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HYdsl/FiLM-SEC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HYdsl/FiLM-SEC")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("HYdsl/FiLM-SEC") model = AutoModelForMaskedLM.from_pretrained("HYdsl/FiLM-SEC") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05e2394a3b22b840ef66ccd3085a6ecd96bb83282d03f20cb791b3fb3d9a5c35
- Size of remote file:
- 3.64 kB
- SHA256:
- 27e0d316f6722b8c34c0258a48d238367ba660e646235d108078fb3633a0e4c2
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