Fill-Mask
Transformers
PyTorch
TensorFlow
Safetensors
English
bert
pretraining
generated_from_keras_callback
Instructions to use samchain/EconoBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samchain/EconoBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="samchain/EconoBert")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("samchain/EconoBert") model = AutoModelForPreTraining.from_pretrained("samchain/EconoBert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0c23149903c99c28966cdf6ba0ba17838dc1839bea7cd11dbf1ba643ce4669a
- Size of remote file:
- 440 MB
- SHA256:
- ff13dae96d0f9882b67a7792d9ff5e45fbc5fd74e4c015aa6ca34d5550d8b8cf
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