Instructions to use Aunsiels/ChildBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aunsiels/ChildBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Aunsiels/ChildBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Aunsiels/ChildBERT") model = AutoModelForMaskedLM.from_pretrained("Aunsiels/ChildBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62e14a8101759fddd8d437d26073302d21e2a813d8337cc46d44ab3a4f6c741f
- Size of remote file:
- 1.33 GB
- SHA256:
- 5ecdd9b300ca2ba4ce5c93d4f500b9a58e8121a5501ba44d1ef1aef7ef3a4c16
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