Instructions to use JeremiahZ/TinyBERT_4L_zh_backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JeremiahZ/TinyBERT_4L_zh_backup with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="JeremiahZ/TinyBERT_4L_zh_backup")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("JeremiahZ/TinyBERT_4L_zh_backup") model = AutoModel.from_pretrained("JeremiahZ/TinyBERT_4L_zh_backup") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f09ff24f841302a5fbea3d0557ec371cc205a024e26815800b0a8e31f812048
- Size of remote file:
- 45.7 MB
- SHA256:
- 45fdeb288dfa504ba5039757e1fdbca8145cbc33eeb5ab3e00bc7f2eb0938a04
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