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:
- e12399deb30962c3db3a4a5f0ff4ec7ff349c86d1dec781c5eb770ad0bcf7217
- Size of remote file:
- 998 MB
- SHA256:
- 82a056e8ccfdde056ca57bbc590487a4091b9846bd40a3980e8d4d2c8852c795
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