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:
- ca4678a7494f68a34715dd8f7607be8521625c19a25115ba1fc81dd17d3c6bdd
- Size of remote file:
- 623 Bytes
- SHA256:
- 6f3e8a8eae945caea8b546ed94e26da1ab634a858692896095790677478661bb
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