Instructions to use ThePixOne/EconBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThePixOne/EconBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ThePixOne/EconBERTa")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ThePixOne/EconBERTa") model = AutoModelForMaskedLM.from_pretrained("ThePixOne/EconBERTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1958df207f1c07808f66daf3d7a609878d1e939b1f87064952e2ebfab700e26a
- Size of remote file:
- 499 MB
- SHA256:
- 2a51801237d3eb8697a1f37051df209a743a4840f49196407308c868eaeeaa61
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