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:
- 16a806a53475ada36e1f5254a3ec1be3569a1dd48b7ce3bba291796bc5a4f723
- Size of remote file:
- 499 MB
- SHA256:
- ec61f171030c81729d2228d83fcaae17678bef97b18011597b6ea58df3abe59c
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