Instructions to use hf-internal-testing/tiny-random-EuroBertForMaskedLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-EuroBertForMaskedLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hf-internal-testing/tiny-random-EuroBertForMaskedLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-EuroBertForMaskedLM") model = AutoModelForMaskedLM.from_pretrained("hf-internal-testing/tiny-random-EuroBertForMaskedLM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da0e0734ec3f8085bf0783afa4f8d13e2b62e56d74e40c83e60728c54569a96c
- Size of remote file:
- 33.2 MB
- SHA256:
- aa4b7508f4154c3e064c338631eaa0ad863f95fbdff5ce45d2669c37dcf34b27
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