Instructions to use ChouBERT/ChouBERT-8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChouBERT/ChouBERT-8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ChouBERT/ChouBERT-8")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ChouBERT/ChouBERT-8") model = AutoModelForMaskedLM.from_pretrained("ChouBERT/ChouBERT-8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a48f9976304167a360da2fee6eb137a90661fff2fa820eedd9cb4aa51c06bfd
- Size of remote file:
- 445 MB
- SHA256:
- faaca357264bf5dccafa52ffc49a7cf40518c58f9b559af6f9a75a4aaf2a75fd
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