Instructions to use fvossel/flan-t5-xxl-nl-to-fol with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fvossel/flan-t5-xxl-nl-to-fol with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="fvossel/flan-t5-xxl-nl-to-fol")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fvossel/flan-t5-xxl-nl-to-fol", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b19a0f58678cabaa47ee16c39856f0866a7ad878bfd9f659fe98a42e83322dc
- Size of remote file:
- 195 MB
- SHA256:
- ca34d45e05d7b28d62261517402a22f6a26d695e61763d297c0137eb794a47a0
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