Instructions to use hf-internal-testing/tiny-random-bert-variant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-bert-variant with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-bert-variant")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-bert-variant") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-bert-variant", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba1c02c59ed71ed89d97bb7e4245400158ba036dee0e3ce5f330d9c3b1262587
- Size of remote file:
- 384 kB
- SHA256:
- 6a51d60379da1fcecf4d3f78c5df079055d335745845e961fbdaca7dfde54577
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