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:
- 9f319bf542123467317f5de1dcdbbf3de9a9b871adfc404b7ea2d9e7563b624a
- Size of remote file:
- 998 MB
- SHA256:
- 6c0126dcf4544b4b94f1d7a54d46cab63f392387c842e6f98782a05455f7aa12
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