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:
- 02199f39169213e8b89770bc8966686091e2c727800346c64c16d2e008319f3a
- Size of remote file:
- 440 MB
- SHA256:
- 0db39962b20eb0947fbb2cc1bea6cda646d544a5a66f0fe0fc296774d124902d
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