Instructions to use Leonardolin/MLM-for-Stock with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Leonardolin/MLM-for-Stock with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Leonardolin/MLM-for-Stock")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Leonardolin/MLM-for-Stock") model = AutoModelForMaskedLM.from_pretrained("Leonardolin/MLM-for-Stock", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Leonardolin/MLM-for-Stock: direct link, hf CLI and curl.
- Browser
- Download file 128 Bytes
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https://huggingface.co/Leonardolin/MLM-for-Stock/resolve/main/README.md
- Command line
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hf download hf://Leonardolin/MLM-for-Stock/README.md
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curl -L -o README.md https://huggingface.co/Leonardolin/MLM-for-Stock/resolve/main/README.md
128 Bytes
| license: unknown | |
| language: | |
| - zh | |
| tokenizer = bert_base_chinese | |
| for config and model you can always use bert_base_chinese | |