Instructions to use HYdsl/FiLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HYdsl/FiLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HYdsl/FiLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("HYdsl/FiLM") model = AutoModelForMaskedLM.from_pretrained("HYdsl/FiLM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ddd501f98dfeee6ccdc4591d5b0c56331d2188b6c00ba8000f0d47516b12d464
- Size of remote file:
- 499 MB
- SHA256:
- 6309838712c233fa7792d9aec7a301db3c2d0daec8e47e02ef6d8109d6cff9d4
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