Instructions to use lgrobol/BERTrade-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lgrobol/BERTrade-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lgrobol/BERTrade-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lgrobol/BERTrade-base") model = AutoModelForMaskedLM.from_pretrained("lgrobol/BERTrade-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bee5122c4a858cdc9f6cdcdf8155283d078c1a37df8052693b3ae7b48075d515
- Size of remote file:
- 369 MB
- SHA256:
- 4704affa1055438fd04a557e99cc45feee07d05c947dc28f64d35dd887995eb6
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