Instructions to use clapAI/Fin-ModernBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clapAI/Fin-ModernBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="clapAI/Fin-ModernBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("clapAI/Fin-ModernBERT") model = AutoModelForMaskedLM.from_pretrained("clapAI/Fin-ModernBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ff26327597d921408405ccd36e68f854c74d91e5dff03e9b1bc93e9d3e13fa0
- Size of remote file:
- 5.78 kB
- SHA256:
- 696d95ac23d8c64782dcf3e30ccb558ae9038efb6c0da08dc57b43cd2ee43d17
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