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:
- bb1bc006414a530bece404620ffc05ce7d23c929d88c8ba99076697a8e0e2ff5
- Size of remote file:
- 3.38 kB
- SHA256:
- d88397e92b92958520ddf8cb0a40b786e25b3fcd7e275586ff545b719149e1aa
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