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
Download pytorch_model.bin from Leonardolin/MLM-for-Stock: direct link, hf CLI and curl.
- Browser
- Download file 409 MB
-
https://huggingface.co/Leonardolin/MLM-for-Stock/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Leonardolin/MLM-for-Stock/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Leonardolin/MLM-for-Stock/resolve/main/pytorch_model.bin
409 MB
- Xet hash:
- 91f12f7f1456604631b0e324f35df8ecdc9723242a1658e11daa84f1d159614b
- Size of remote file:
- 409 MB
- SHA256:
- f89edb746293a40de1ed0396878005d4408b07a46960c97082f39e4c0be57375
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