Instructions to use anablasi/financial_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anablasi/financial_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="anablasi/financial_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("anablasi/financial_model") model = AutoModelForMaskedLM.from_pretrained("anablasi/financial_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from anablasi/financial_model: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/anablasi/financial_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://anablasi/financial_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/anablasi/financial_model/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 5c80cdb8f7c3d95589467adfe785c64713189e6e92bc3c9bde4da96c52effb37
- Size of remote file:
- 499 MB
- SHA256:
- 0b2173a1fd8d114d2323fa28d53d99e6ef56a6b0acd1cd8ee494b5f38806017e
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