Instructions to use hf-tiny-model-private/tiny-random-BigBirdModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-BigBirdModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-BigBirdModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04bc8e6013bd97482432d1eea3d6d86f5b50cd1ccfec1bbc012db4fd8f79f55c
- Size of remote file:
- 6.55 MB
- SHA256:
- a646270f6b5dd5c17a988f7644c1826e45305847bff7e79b9d657dce04992153
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