Instructions to use hf-internal-testing/tiny-random-FunnelForMaskedLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FunnelForMaskedLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hf-internal-testing/tiny-random-FunnelForMaskedLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FunnelForMaskedLM") model = AutoModelForMaskedLM.from_pretrained("hf-internal-testing/tiny-random-FunnelForMaskedLM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cb18449e2cf12bb9aee910f86b1fcb449aa780cf6f003fc59bed6a2b8f3a895
- Size of remote file:
- 319 kB
- SHA256:
- d788a2ee41c95e5d3d58ae57ad4cbc5f8ed7287f60f79118db254c1a177af490
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