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:
- cdd725307404b3b054ce689995c942d3449ccf1235534732a4d41871720476ab
- Size of remote file:
- 573 kB
- SHA256:
- f4db0c6e67e577e2e27a154b00feb0aaddf963692c9c8ddc9481dfd07f301678
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