Instructions to use philschmid/finbert-pretrain-yiyanghkust with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philschmid/finbert-pretrain-yiyanghkust with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="philschmid/finbert-pretrain-yiyanghkust")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("philschmid/finbert-pretrain-yiyanghkust") model = AutoModelForMaskedLM.from_pretrained("philschmid/finbert-pretrain-yiyanghkust", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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pipeline_tag: fill-mask
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# This repository is a fork of [yiyanghkust/finbert-pretrain](https://huggingface.co/yiyanghkust/finbert-pretrain)
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pipeline_tag: "fill-mask"
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language: en
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# This repository is a fork of [yiyanghkust/finbert-pretrain](https://huggingface.co/yiyanghkust/finbert-pretrain)
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