Instructions to use hf-internal-testing/tiny-random-FunnelBaseModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FunnelBaseModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-FunnelBaseModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FunnelBaseModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-FunnelBaseModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e53da396aa09b990bec9ff74315adb579ae841e63455d25644fbb89b1398e3e
- Size of remote file:
- 298 kB
- SHA256:
- e418f561d89358a8a7cca5b8d98e1a72751d47d7bcda446d1f7938e900e95ac7
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