Instructions to use sonnv/MFinBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sonnv/MFinBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sonnv/MFinBERT")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sonnv/MFinBERT") model = AutoModel.from_pretrained("sonnv/MFinBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bbcb7f72dd9519e1ee50bab2f3226ce9b10f1962299b7c09c12729adb84de2ba
- Size of remote file:
- 1.11 GB
- SHA256:
- 9ebcfdae6f5f84f2ebe3c0813f1a397a6706774432d13d977a2d1417704c9763
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