Instructions to use hcoxec/tiny_BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hcoxec/tiny_BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hcoxec/tiny_BERT")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hcoxec/tiny_BERT") model = AutoModel.from_pretrained("hcoxec/tiny_BERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1bada908f8740ba208720bc96b1e7c1989d6e73a8a53e499010fe00cf8d0b6bd
- Size of remote file:
- 25.5 MB
- SHA256:
- 744965bb84be7ba32e09e1922aa0817ea4c608e525a7e57482500dfce1827d8e
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