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 optimizer.pt from anablasi/financial_model: direct link, hf CLI and curl.
- Browser
- Download file 998 MB
-
https://huggingface.co/anablasi/financial_model/resolve/main/optimizer.pt
- Command line
-
hf download hf://anablasi/financial_model/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/anablasi/financial_model/resolve/main/optimizer.pt
998 MB
- Xet hash:
- 0e1226c57665ffb57ce253f0ef5984e048633b47f9bbaff9cf2fb309368f4ba2
- Size of remote file:
- 998 MB
- SHA256:
- 619dbbf100cffdcfdf929aab6fac21e7a67bb038aa2fb93b5308bb32bd97ed45
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