Instructions to use yiyanghkust/finbert-pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yiyanghkust/finbert-pretrain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="yiyanghkust/finbert-pretrain")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("yiyanghkust/finbert-pretrain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from yiyanghkust/finbert-pretrain: direct link, hf CLI and curl.
- Browser
- Download file 442 MB
-
https://huggingface.co/yiyanghkust/finbert-pretrain/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://yiyanghkust/finbert-pretrain/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/yiyanghkust/finbert-pretrain/resolve/main/pytorch_model.bin
442 MB
- Xet hash:
- 198bebcdf80220f290620f00e32558fe36dc0e30cc5680ca559564eb888a3223
- Size of remote file:
- 442 MB
- SHA256:
- 46dd5b5cbf7141b0c5d882516243abf71cfa4a27e57023c43290d655fccfb48c
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